This project focuses on creating a reusable Rail Guided Flywheel operated launching system to eliminate the need for expensive and dangerous single-use rocket motors. The system uses modular components, such as aluminum extrusions and a flywheel, to provide a safe and cost-effective rocket launch solution for high school rocketry teams.

Thi project was an app designed to combat political bias and misinformation in news articles. I contributed to creating a large language model that analyzes articles, providing users with real-time ratings on bias, factuality, and trustworthiness. By allowing users to input article links and receive detailed insights based on trusted sources and AI analysis, this app empowers individuals to better understand the information they consume, fostering more informed debates and viewpoints.

This project, conducted under Gael Force Robotics Team 5327J, focused on reverse engineering a CineQueen 4K 3-Inch Hybrid Quadcopter to understand the complexities of FPV drones and their vulnerabilities, particularly in the context of warfare. I disassembled the drone, analyzed its components, and studied its control flow and Betaflight software, applying their findings to create detailed CAD models, simulations, and a mathematical representation of the system. The project aimed to raise awareness about the dangers of misusing commercial drones in conflict zones while enhancing the team’s engineering skills.

Garbanzo Beans is a low-cost, wireless solution that revolutionizes waste management by identifying full trash cans efficiently for a low cost and with mesh networking technology.

This project involved contributing to the development of Cura, a widely-used open-source 3D printing software. Cura provides an efficient workflow for converting 3D models into G-code for 3D printers, with a focus on usability and powerful customization options. I worked on optimizing the slicing engine to improve print quality and efficiency, as well as slight edits to the UI and API integration.

What is Algrus? Algrus is a stock trading AI that uses alpaca broker software to trade and predict stock prices. Algrus has the ability to make its own algorithm using Keras And Tensorflow libraries.

I contributed to the development of Voron, an open-source project focused on building high-performance, reliable 3D printers designed for hobbyists and enthusiasts. My work centered around improving the software and integration of the klipper backend used to control these printers. We prioritized building software that was as efficient and modular as possible, allowing voron to be some of the most versatile printers on the market.

I worked on development of an open-source 3D slicing engine used to convert 3D models into instructions for 3D printers. It focuses on optimizing the slicing process to ensure precise layer-by-layer printing instructions, improving print quality, speed, and material efficiency. I mostly worked on development of a technology called non planar 3d printing, which was focusing on enabling more complex and curved layer deposition.

I started getting into homelabbing and servers in order for me to continue my work in the field of machine learning. I scored a good deal on a r730 dell server on ebay and custom built it out to my specifications needed, and got a bunch of gpus donated by a local datacenter. I also took this opportunity to get a 48p switch and hardwire everything else in my room as well, from my printers to my main desktop computer.

I worked on a feature for Prusa Slicer which allowed users to do something called Arc Overhanging, where you could print on the edge of the previous layer removing the need for supports and making it possible to do prints on FDM machines that were previously impossible.

This was a project we worked on for a event called Open Sauce I went to, we built a fully modular rocket completely built from scratch that consisted of gps, telemetry, video transmission, alt, sd card, a screen, cellular, etc. We also had a edf unit inside like one of my earlier rockets to show how our TVC works onboard, as this was a gimbals demo unit.

This is my current race drone I use for drone racing events, and its a 4s high speed quad with a 22:1 thrust to weight ratio that I have specially designed to give me as much of a edge as possible. Its completely custom designed from custom cut carbon frame, to hand etched fc with a f7 processor running betaflight.

This was a RF based antenna tracker that I used to keep pinpoint accuracy on my quad when its flying at high speed through the air. It doesnt use any external sensor data other than rf strength, and it works by utilizing the hill climb algorithm and PID for fine motor control to pinpoint where the quad is and track it consistently.

This is a high speed quad I built for a little longer and faster freestyle as well as for car shots, which need to carry beefy gopros and need to follow fast moving objects.

This was a custom made analog system built on top of my old goggles designed to increase range via channel and frequency fusion in order to reduce rf bouncing from structures and walls providing extreme performance inside concrete structures or places where rf interference is great.

The goal with this was to build a long range agile quad that has the ability to preform autonomous missions and be able to collect surveillance data. This drone was equipped with 915mhz crossfire transmission and a hglrc gps system running INAV for autonomous travel. The downside was ultimately the small battery and high rpm motors which greatly reduced flight time.

This was a rocket we designed for the Arc Rocketry Competition, the goal was to make it hit a certain altitude, as well as reach it with limited weight and motor class. The rocket consists of a TVC and EDF and a RC battery in order to be able to hit its target and instantly slow down via back prop. This allowed us to hit +-3 meters of our target altitude.

This is the 3rd iteration of my cinewhoop style drone, and its based on the diatone taycan 3 inch frame, scaled to 5 inch. It uses performance 5 inch motors ripped from a old racing drone, which allowed me to move extremely fast with heavy camera equipment on board for shots that need faster speed.

This project focused on developing and customizing a Pwnagotchi, an AI-powered device used for Wi-Fi network monitoring and capturing WPA handshakes. Built on a Raspberry Pi with a eink display for battery life, the Pwnagotchi learns and improves its efficiency in gathering data by interacting with nearby networks. Our team worked on optimizing the device’s performance, improving battery life, and customizing its user interface for a better experience.

In this project I was tasked with building a drone for extreme range and to be as budget as possible for 1 way missions, frame was 3d printed and super light for extended battery life. Entire build was under 40$.

This was a custom macropad I made and programmed from scratch without the need for a custom pcb, with a raspi pico behind the hood.

Messed around with gcode and manual finetuning in order to push the boundaries of what 3d printers can do, and allow me to make structures I was not able to for more complex and demanding projects.

Replaced the mainboard of my ender 3 with a raspberry pi and swapped the marlin firmware with a custom fork of klipper and moonraker. Also rebuilt the hotend from the ground up with a e3d hemera as the base and custom shell housing.

I got a new resin 3d printer setup funded by gaelsuite, which further allowed me to push the bounds of what was possible with my projects and build some new super cool stuff.

Version 2 of my custom built 3.5inch cinewhoop, this time using a injection molded ABS frame and custom cut CF body, and higher current electronics and a 4k camera system for better quality shots.

This was my first model rocket that I have built with a team, I was in charged of making the custom flight controller which was in charge of parachute deployment and system handling. Everything worked well, but due to where the rocket landed a car ended up running it over (go figure), however we were still able to pull flight logs off of it!

This was a project where we hosted educational workshops to help get kids into robotics and engineering, and I was in charge of mass producing the parts required to host these workshops, as well as light design and tuning of everything.

In this project I developed machine learning models and algorithms to be able to track, analyze, and score a bots performance, not just purely on score but rather other metrics as well, like scoring speed, defense, etc.

Gaelpager was a project I was working on a while ago where we made this super specialized pager for robotics teams that worked on mesh networking, as it was to solve the issue of teams not coming to match on time. The plan was to give these to every team in order to prevent this.

I got and maintained a laser cutter for development in personal projects, and used it for making custom pcbs and large scale schematics

Built my own custom drone from scratch, including completely 3d printing the frame from TPU, custom milling the bottom plate from carbon fiber, and hand soldering all the electronics.

This was a custom built video system I made designed for low power and low latency transmission. It was based off of LoRA and was a full digital 2.4ghz video controller and custom designed PCB. It wasnt very practical due to limited range, but it was a fun project designed to hone my skills.

This was back when I first started developing high vram intensive models, and started working in LLM's and CV processing, and I needed a system that could keep up, so I bought my first GPU (nvidia tesla k80) and put together a cheap distributed computing cluster I used for training. Because the card was so old, most systems didn't support it and I had to learn older versions of CUDA C in order to fully utilize it.

I was starting to get bored of 3d printing, so I moved on to FPV drones and high speed aircraft, where I ended up building my own and developing custom software and hardware for it which ended up pushing my interests in EECS and aeronautics even further.

I worked and developed a new type of glass adhesive for high performance materials like PEEK and ABS that tend to warp alot. I worked with a company called vision miner to mass produce and sell this as a viable product for everyone to use!

This was my first venture into resin 3d printing, and I managed to score 4x anycubic photons for 30$ total all broken. I took them all apart and repaired them in order to work and develop more precise parts for the other projects I was working on at the time.

This project involved designing a custom 3D printer based on the Replicator 1, but constructed in acrylic and retrofitted with two Flexion extruders, which were the leading technology for flexible filament printing at the time. The success of this design contributed to the development of the Flexion Dual system, advancing dual-extruder technology for flexible materials.

This project involves the development of a small robot powered by a Raspberry Pi and servo motors, featuring a 3D-printed structure. The aim was to create a functional and low-cost walking robot using easily accessible components.

This was probably the first "real" project I did, its what probably pushed me into the hardware side of engineering and really opened my eyes to the possibilities. The entire adapter was custom made from the 3d printed shell down to the hand etched and custom designed PCB. It has a very simple purpose; be able to tell when a light bulb goes out and relay it back to the main control hub, which could be miles away. This system used a mesh network technology called zigby which was able to transmit basically infinite range as long as you have enough nodes.

This was a educational event where we taught kids robotics and advertised for gaellabs, as well as showed them how interesting robotics and engineering could be.

At this event, I was part of a workshop focused on teaching coding to young students, with an emphasis on empowering girls to explore STEM fields. The session covered the basics of programming through hands-on activities, allowing participants to code and control simple robotics systems. My goal was to inspire and equip the next generation of engineers and programmers with the confidence and skills to pursue their interests in technology.

Authored an article on optimizing Python loops for faster execution, comparing traditional loop methods with vectorized operations using NumPy. Demonstrated significant performance improvements in computational tasks by leveraging Python’s built-in functions and efficient data structures.

Authored an article comparing Google’s Imagen model to OpenAI’s DALL-E 2, analyzing their use of diffusion models and text-to-image generation techniques. Explored how Imagen achieves higher realism and performance through large pre-trained text models and diffusion-based upscaling methods

Authored an article on the practical use of ‘sudo’ commands, explaining the differences between sudo -s, sudo -i, and su commands, and their impact on shell environment variables and user permissions in system administration.

Authored an article analyzing the impact of batch size on machine learning models, focusing on performance, training costs, and generalization. Explored optimization strategies to minimize the generalization gap and improve training efficiency while maintaining computational cost-effectiveness.

Authored an article breaking down how Discord manages to handle millions of simultaneous users by leveraging WebRTC technology, Elixir-based backend services, and client-server architecture. The piece explores Discord’s enhancements to traditional WebRTC, such as bandwidth optimization and custom handling of system volume for gaming, while explaining its use of distributed systems for load balancing and DDoS protection. Additionally, it highlights how Discord’s unique use of consistent hashing and Erlang-based parallel processing ensures scalability and reliability.

Published a guide detailing how to set up a powerful, free virtual private server using Oracle Cloud’s Always Free tier, offering 4 CPUs and 24GB of RAM. The article walks readers through creating an account, setting up a VM instance, configuring it with SSH keys, and connecting remotely via SSH. This solution provides an alternative to popular cloud services, highlighting cost-effective cloud computing options.

Published a technical guide on bypassing the HTTP 403 Forbidden error, which prevents access to certain websites. The article demonstrates how to identify domain endpoints and subdomains using tools like subfinder and httpx. It also explains the use of the dig command to bypass the 403 error by accessing a site via its CNAME. This solution provides a quick, practical method for handling restricted access issues when exploring web domains.

Authored an article exploring the integration of quantum mechanics and artificial intelligence, focusing on how quantum computing can accelerate machine learning processes. The article highlights recent advancements, including the development of machine learning tools like OrbNet, which enable faster quantum computations. It discusses the potential of quantum technology to optimize algorithms, solve complex problems more efficiently, and enhance neural networks, demonstrating how quantum systems outperform classical systems in specific use cases.

Authored an article exploring the historical and philosophical aspects of artificial intelligence, starting from Alan Turing’s 1950 paper ‘Computing Machines and Intelligence.’ The piece delves into the Turing test, discussing its limitations in assessing machine intelligence and highlighting debates surrounding the question of whether machines can truly think like humans. The article also references key figures in the field, including John Searle, and addresses the implications of machine intelligence and its definition in the context of AI.

Authored an article on Naive Bayes, a probabilistic machine learning algorithm used for classification tasks. The article covers the application of Bayes’ theorem with the ‘naive’ assumption of feature independence, explaining how the Naive Bayes classifier predicts categorical target variables. It highlights its effectiveness in text classification, handling multi-class problems, and discusses its ability to perform well even when independence assumptions are violated. The piece also explores the algorithm’s reliance on conditional probability and provides examples of its use in real-world applications.

Authored an article on Linear Discriminant Analysis (LDA), a key dimensionality reduction technique used in machine learning and pattern recognition. The piece explains LDA’s role in classification tasks, where it identifies linear combinations of features to maximize class separability. It covers LDA’s comparison with other techniques such as Principal Component Analysis (PCA), its applications, and the mathematical foundations behind the method, providing readers with both theoretical and practical insights.

Authored an article explaining decision trees, a widely used decision support tool in AI and machine learning. The article covers the basics of decision trees, their use in predictive modeling, and how they support decision-making by mapping out possible actions and outcomes. The piece also touches on practical applications in business strategy and machine learning, with examples of how decision trees visualize options and expected results for complex decisions.

Authored an article introducing linear regression, simplifying its concepts for beginners. The piece covers the fundamentals of simple and multiple linear regression, explaining how these models predict relationships between variables using linear equations. It also touches on practical applications and the least-squares method used to fit models to data.

Authored an article explaining procedural world generation in Minecraft, focusing on how seeds and algorithms generate consistent and vast game environments. Highlighted the role of procedural generation in enabling open-world exploration without manual development.

Authored an article on the mechanics of SSL/TLS encryption, explaining how it secures data transmission between browsers and servers. Covered the SSL handshake, the role of certificates, and public/private key cryptography, with practical insights on securing online transactions and data integrity.

Published an article sharing practical JavaScript code snippets, covering tasks such as reversing strings, generating random hex colors, detecting dark mode, and removing duplicates from arrays. Designed to help developers implement efficient solutions with minimal code.

Authored an article on optimizing Python code performance using PyPy, a Just-In-Time (JIT) compiled alternative to Python. Explored how PyPy significantly improves execution speed, particularly for computational tasks, and compared its performance to C++ and standard Python. Discussed practical applications for faster code execution without requiring changes to Python code.

Wrote an article on the benefits of online education, highlighting its flexibility, accessibility, and ability to cater to individual learning needs. Discussed how online learning enhances student control, offers access to diverse programs, and supports better student-teacher interaction while also being environmentally friendly.

Authored an article on Non-Fungible Tokens (NFTs), explaining their blockchain-based structure, uses in digital art, gaming, and collectibles, and how they provide new opportunities for creators to monetize their work by verifying ownership and trading assets in both digital and physical realms.

Authored an article reviewing the top Python libraries for machine learning and artificial intelligence, including TensorFlow, Keras, Scikit-learn, and PyTorch. Provided insights into the strengths and applications of each library to help developers optimize AI/ML projects.

Big O notation is a critical concept in computer science that helps us understand the efficiency of algorithms by measuring their time and space complexity as input size increases. It simplifies the performance analysis of algorithms by focusing on how their execution time grows relative to input size, disregarding constants and non-dominant terms. This notation classifies algorithms into different categories, such as O(1) for constant time, O(n) for linear time, O(n²) for quadratic time, and more, allowing developers to predict how their code scales with larger datasets. Understanding Big O is essential for optimizing code and making informed decisions about algorithm performance.

This article explores the significance of algorithms in coding and programming, emphasizing their role in problem-solving and system efficiency. It delves into how algorithms, such as those used in Swift and other languages, help developers create solutions and pass technical interviews. The article also highlights the importance of understanding time complexity using Big O notation and the differences between common search algorithms like DFS (Depth-First Search). Algorithms serve as the foundation for many automated processes, including artificial intelligence, data processing, and logic-based operations, and remain essential for both seasoned and beginner programmers.

This article provides an overview of cryptocurrency, explaining how it works and its key components, such as cryptography, blockchain, and mining. It describes cryptocurrencies as digital or virtual currencies that are secured through cryptography, making them resistant to counterfeiting. The article delves into Bitcoin, the first and most popular cryptocurrency, and how blockchain technology powers the decentralized nature of cryptocurrencies. Additionally, it touches on different types of cryptocurrencies, exchanges, and the role of mining in verifying transactions and preventing double-spending.

This article provides an overview of how Artificial Intelligence (AI) and Machine Learning (ML) are used to solve complex, real-world problems. It discusses AI’s ability to analyze large datasets, detect patterns, and improve efficiency in industries like cybersecurity and fraud prevention. The article touches on AI problem-solving techniques such as search algorithms, heuristic methods, and root cause analysis. It also highlights how AI and ML are applied across industries, enabling organizations to address challenges like operational optimization and predictive decision-making.​

This article provides an introduction to PyTorch and how it can be used for deep learning. It begins by explaining PyTorch’s similarities to Numpy, with the added advantage of GPU support, and demonstrates basic tensor operations like multiplication and slicing. The article then walks through creating a simple Convolutional Neural Network (CNN) class using PyTorch, covering the __init__ and forward() methods. Finally, it discusses how to train, test, and save the model, using the MNIST dataset for demonstration.

This piece introduces cybersecurity as the practice of safeguarding computers, networks, and data from malicious attacks. It covers various aspects of cybersecurity, such as network security, application security, information security, operational security, and the importance of end-user education. The article highlights the growing threat landscape, including rising data breaches, types of cyber threats like malware and DDoS attacks, and the role of governments in setting cybersecurity standards. Finally, it emphasizes the need for continuous vigilance and user training to combat evolving cyber threats.

Authored a comprehensive guide on sorting algorithms, covering key concepts such as comparison-based sorts, integer sorts, and properties like time and space complexity. The article highlighted different types of sorting algorithms, including quicksort and bubble sort, and offered insights into selecting the appropriate algorithm based on data size and complexity, providing foundational knowledge for beginners in computer science.

Authored a guide on using the NLTK module for tokenization in Natural Language Processing (NLP), explaining how to split text into words and sentences using Python. The article provided practical examples of using NLTK for sentence and word tokenization, as well as setting up the Python environment to run NLP tasks effectively.

Authored an article examining the distinction between artificial intelligence (AI) and artificial consciousness, addressing philosophical and ethical considerations. Explored the concept of machine consciousness, human-robot interaction, and the implications of robots potentially gaining rights in the future

Authored an article on Long Short-Term Memory (LSTM) networks, addressing limitations of traditional RNNs and introducing LSTMs as a solution. Explored LSTM architecture, applications, and a comparison with Gated Recurrent Units (GRUs) while highlighting key challenges such as exploding and vanishing gradients in machine learning models.

Authored an article explaining the fundamental principles of quantum mechanics, including quantized properties, wave-particle duality, and the uncertainty principle. Discussed the historical development of quantum mechanics and its modern applications in fields like quantum field theory.

Wrote an article explaining the fundamentals of OpenCV, a computer vision and machine learning library, covering its key modules, features, and applications in fields such as robotics, medical imaging, and industrial automation. Discussed how OpenCV is used for image processing, object detection, and video analysis.

Authored a comprehensive guide for beginners on stock trading, covering essential steps such as opening a trading account, understanding market fundamentals, analyzing charts, practicing virtual trading, and managing real money positions. Emphasized the psychological and technical aspects necessary for success in the stock market.

Authored an article explaining the fundamentals of stock ownership, covering the benefits and risks of holding stocks, modern stock trading methods, and key factors that influence stock prices. Provided insights on the role of shareholders and stock evaluation metrics.

Authored an article explaining the fundamentals of 3D printing technology, covering how 3D printers work by layering materials to create objects. Discussed potential applications, future possibilities, and limitations of 3D printing compared to traditional manufacturing methods.

Wrote an in-depth article on TensorFlow, explaining its role as an open-source framework for building machine learning applications. Covered key components like tensors and graphs, its use of CPUs and GPUs, and provided practical examples of TensorFlow implementation in Python for deep learning projects.

Developed a sentiment analysis tool using Natural Language Understanding (NLU) networks and tokenization to assess stock performance based on news articles. Integrated APIs (Polygon.io, NewsAPI) to gather data and trained models to generate and evaluate sentiment, providing real-time stock sentiment insights.

DEDA Entrepreneurship Competition recognizes the individual with the best engineering project, demonstrating innovative yet impactful solutions for evolving issues in technology. Selected by a panel of judges by evaluation.

Received a Certificate of Special Congressional Recognition for outstanding participation in the 2023 Congressional App Challenge, awarded by Congressman Mark DeSaulnier. This recognition highlights my technical skills and creativity in app development as part of a national competition aimed at promoting STEM education and innovation among students.

The Flux.AI PCB competition is recognized globally for innovation, design quality, and functionality in printed circuit board design. Individuals demonstrating completion of projects reflecting requirements receive recognition.

The DEDA Entrepreneurship Competition awards one project annually to the candidate demonstrating innovation, proper execution, and presentation. Selected by a panel of judges evaluating impact and feasibility.

Top 25 participants in the PicoCTF challenge are recognized nationwide for their exceptional problem solving speed, accuracy, and innovation in relation to cybersecurity.

The sixth-highest performer in Hacker Rank’s cybersecurity challenges is awarded the recognition for solving 950 security related problems with effectiveness, accuracy, and optimization of solutions. Open to individuals across the U.S.

Award is given to the fourth highest scorer in Hacker Rank’s machine learning challenges, recognizing individuals with a knack for coding accuracy and efficiency. Individuals must solve 350 problems, meeting efficiency requirements.

This award is given to the top performer in Hackerrank’s Functional Programming challenges for solving nearly 600 problems globally with the highest score and optimization.

USACO Platinum rank is awarded to fewer than 300 individuals nationwide for exceptional skills in competitive programming and algorithmic problem-solving.

I, along with my team, created Politica AI, a web extension and website designed to help readers detect political bias and misinformation in the articles they read. Using a large language model, the app provides bias, factuality, and trustworthiness ratings for millions of articles, making it easier for users to discern the reliability of the information they consume. Our app earned second place in Congressman Mark DeSaulnier’s Congressional App Challenge, demonstrating our dedication to addressing the growing issues of bias and misinformation in media.

Our team developed Politica AI, a browser extension that helps users detect news biases, misinformation, and falsehoods in articles. Using a fine-tuned AI model, the app analyzes article content and provides detailed bias ratings and alternative perspectives. Politica AI earned second place in Congressman Mark DeSaulnier’s Congressional App Challenge. It was designed to integrate seamlessly into users’ news reading workflow, allowing for a quick and simple bias check on any article. We continue to improve and promote the app to educate more people, especially in today’s polarized media environment.

I, along with my team, created “Politica AI,” an app designed to help users identify political bias and misinformation in articles. The app leverages a large language model to provide insights on bias, logical fallacies, and alternative perspectives in the media. Our project earned second place in Congressman Mark DeSaulnier’s Congressional App Challenge, highlighting our commitment to addressing bias in today’s media landscape.

• • Conducted in-depth research on a variety of topics, spanning from technology and science to humanities, curating content that caters to Medium's diverse readership.

• Authored and published multiple articles across several notable Medium publications, including:

• MLearning.ai: Discussed the intersection of artistry and data science, emphasizing the importance of innovative problem-solving in code creation.

• Python in Plain English: Contributed regular content on Python programming, reaching a vast audience of over 3.5M monthly readers.

• ILLUMINATION & ILLUMINATION’S MIRROR: Shared diverse articles on a range of topics, contributing to the synergy of diverse domains and disciplines.

• Towards AI: Engaged with the community on making AI concepts accessible to a broad audience.

• AWS in Plain English: Offered insights and tutorials on AWS, Cloud, and DevOps.

• Your tech, done better: Covered emerging tech trends, especially in Web3, DAOs, AI, Blockchain, and Cloud.

• JavaScript in Plain English: Delivered content on JavaScript and web development.

• Geek Culture: Contributed to this tech-focused publication under the Start it up umbrella.

• Dev Genius: Authored articles related to various development aspects, from coding to UX/UI.

• Investor’s Handbook: Provided investment insights, strategies, and education on diverse asset classes, from stocks to real estate and crypto.

• Collaborated with editors and other writers for peer reviews, ensuring the content maintained a high standard of quality, coherence, and authenticity.

• Regularly analyzed user feedback and engagement metrics to refine writing style and address trending topics that resonate with the readership.

• Engaged with the Medium community through comments, discussions, and collaborations, fostering a vibrant and interactive reader-writer relationship.

• Utilized CAD software to create and optimize 3D models for printing, aligning with customer specifications and industry standards, resulting in a 15% reduction in material usage.

• Operated and maintained a range of 3D printers, including FDM and SLA technologies, to ensure high-quality production.

• Collaborated with the engineering team to troubleshoot and resolve printing issues, improving efficiency by 20%.

• Contributed to the research and testing of new printing materials, analyzing their properties and applications in different 3D printing processes.

• Developed a comprehensive report that guided the selection of materials for specific projects.

• Worked closely with marketing, sales, and engineering teams to develop customer-focused 3D printing solutions.

• Participated in client meetings to provide technical insights and helped create custom prototypes that enhanced client satisfaction and sales.

• Employed machine learning frameworks such as OpenAI and TensorFlow for advanced neural network modeling and deployment.

• Architected the AI Dev Manager utilizing containerized solutions, enhancing the CI/CD pipeline for AI models.

• Crafted state-of-the-art algorithms exploiting both supervised and unsupervised learning techniques to enable personalized and adaptive learning experiences.

• Engineered anti-cheat and fraud detection systems by leveraging anomaly detection and deep learning methodologies, ensuring optimal platform security.

• Spearheaded efforts in hyperparameter tuning and model optimization, enhancing efficiency in both training and inference phases.

• Collaborated in the design and implementation of a feature store, streamlining the reuse of feature engineering efforts across projects.

• Assisted in the evaluation and integration of cutting-edge NLP techniques to refine chatbot interactions and user feedback loops.

• Regularly worked with with data engineering teams to ensure data accuracy, quality, and consistency for model training.
  Stayed researched advancements in AI, actively prototyping with emerging tools and techniques to maintain the company's technological edge.

• Collaborated with leading researchers at Stanford to create cutting-edge machine learning algorithms for molecular imaging, enhancing image resolution and interpretation by 30%. Contributed to coding in Python and TensorFlow, applying Deep Learning techniques.

• Played a key role in three research projects, focusing on innovative molecular imaging techniques, resulting in two peer-reviewed publications. Assisted in experimental design, data collection, and analysis, contributing to both the theoretical and practical aspects of the work.

• Worked closely with medical professionals to translate AI-driven molecular imaging research into real-world clinical applications. Assisted in the development of a prototype that is now being used in early-stage cancer detection.

• Engaged in multifaceted collaboration between the Computer Science, Biomedical Engineering, and Radiology departments at Stanford.

• Led a team of programmers in the development of autonomous and tele-operated robot control for FIRST Tech Challenge (FTC) competitions.

• Collaborated with mechanical and electrical teams to ensure smooth integration of hardware and software components.

• Mentored junior programmers and organized code review sessions to maintain code quality and efficiency.

• Stayed updated with FTC game manual and rules, ensuring the robot's code met all regulations.

• Developed algorithms and control systems for VEX robots participating in various robotics competitions.

• Collaborated with the team to optimize robot movements, sensor integrations, and achieve specific game objectives.

• Conducted troubleshooting sessions post-competitions to refine robot actions and improve performance.

• Assisted alternate drivers by providing insights into how the robot's software could be better utilized.

• Designed and implemented state-of-the-art machine learning algorithms to analyze stock market data, resulting in a 20% improvement in prediction accuracy. Collaborated with data scientists to fine-tune models and ensure alignment with company goals.

• Led the integration of big data technologies for real-time data processing and analysis, enabling more robust decision-making processes for traders. Utilized tools such as Python, R, and Tableau for data cleaning, transformation, and visualization.

• Engineered low-latency trading systems to facilitate high-frequency trading strategies, optimizing the software for minimal response times. Worked closely with quantitative analysts to ensure the solution met specific trading requirements.

• Ensured that all algorithms and data handling met regulatory compliance standards, including GDPR and SEC regulations. Implemented security protocols to safeguard sensitive financial data, conducting regular audits and assessments to maintain integrity and confidentiality.

• Assisted a team of leading aerospace professionals at NASA JPL in the development of robotic space exploration tools, contributing ideas and support in both design and testing stages.

• Utilized cutting-edge technology to perform data analysis on satellite imagery, aiding in the discovery of new astronomical phenomena and providing key insights for ongoing missions.

• Supported the design and fabrication of components for an experimental spacecraft, gaining hands-on experience in CAD design, 3D printing, and materials testing within a professional engineering environment.

• Involved in NASA JPL's education and public outreach initiatives, creating and presenting engaging STEM content to inspire and educate local schools and community groups about space science and technology.

• Designed and implemented educational software tools to facilitate coding lessons for young learners.

• Collaborated with educators to understand requirements and ensure the development of user-friendly interfaces.

• Conducted online training sessions and webinars to introduce the software to users and collect feedback.

• Regularly updated the software to address any issues and incorporate new features based on user requests.

• Led a team of young enthusiasts in the FIRST Lego League (FLL) competitions, focusing on both robot design and core values challenges.

• Organized regular team meetings, established objectives, and delegated tasks to ensure project completion.

• Facilitated brainstorming sessions to ideate solutions to the yearly FLL challenges.

• Coordinated with event organizers, mentors, and parents to ensure a smooth competition experience for the team.

• Lead at GaelSuite, a nonprofit organization aimed at introducing students to robotics and 3D printing technology.

• Developed custom ‘Lego’-style connectors through 3D printing for use in educational robotics systems.

• Hosted workshops and hands-on sessions, teaching students how to design, 3D print, and assemble their own robotic systems.

• Focused on promoting innovation and creativity in STEM fields by encouraging students to build and prototype custom robotic projects.

• Provided mentorship and resources to help students learn about 3D printing, mechanical design, and programming.

• Collaborated with local schools and community centers to make robotics education more accessible to underprivileged students.

• Emphasized practical learning by allowing participants to take home 3D printed parts and completed robotic models, fostering long-term interest in engineering and technology.

• Collaborated with the YCW team to deliver tech-focused educational initiatives, emphasizing Python programming and foundational software concepts.

• Designed and facilitated hands-on coding workshops, interactive coding sessions, and lectures, ensuring participants grasped both the theory and practical applications of Python.

• Curated and distributed learning resources tailored for beginner to intermediate level programming enthusiasts in the community.
  Mentored students on coding best practices, troubleshooting techniques, and project development, aiding them in their journey to become proficient software developers.

• Collected feedback from participants to continuously refine and enhance the curriculum, ensuring the content remained relevant and up-to-date.

• Engaged with parents and community leaders to promote the importance of tech education and fostered an inclusive, tech-forward community environment.