* Xiangyi Li, a 1st year MS student in Computer Science at San Jose State University, interned at Dolby Laboratories as a Windows Platform Entertainment Development Engineer in 2023. He developed frontend and backend features for an enterprise-grade Dolby Vision support portal. He quickly adapted to the .NET framework, completed previous backlogs ahead of schedule, and implemented new features that significantly increased customer happiness. He was able to independently come up with new features and managing JIRA issues in the absence of the product manager and project manager, as a result of actively collaborating with cross-functional teams.

* As the founding engineer at Imaginix in January 2024, Xiangyi Li architected the tech stack for the Kimi AI anime voice chatting app. He crafted project-specific interview questions, made key tech decisions, and shipped the app in three weeks. He contributed 90% of the codebase. He implemented server-side optimizations that reduced latency and designed a scalable, globally fast animation stream service with minimal bandwidth usage.

* Currently, Xiangyi is building personal projects, organizing a student group for coding practice and mock interviews, and actively attending hackathons and workshops to expand his skills. He has booked tickets to several high-quality workshops, including one on Enterprise Angular, which aligns with the Service Application intern position. Also, here's a list of questions requested.

Three bullet points of excellence

During my internship on the OpenShift team from May 2022 to Nov 2022, I proposed to develop to two internal tools for a department of 200 and a team of 15 respectively on my own. These are used to this day. I also extended dozes of Cypress functionalities and my team was able to use them for 100+ features they ship in a sprint.

Red Hat Inc

During my Dolby Vision internship from Feb 2023 to Apr 2023, I finished twice as many issues (including features and bugs) as my mentor had planned before onboarding. For a client software I was working on I managed to drastically improve satisfaction in terms of UX/UI and adding helpfull features through active communication with field engineers and the upstream team. I also rewrote to make its codebase more maintainable.

Dolby Laboratories

Software Engineer

Took CS256 topics in artificial intelligence and CS257 topics in machine learning besides computer science. 

Courses taken besides computer science: statistics, statistical inference, linear regression, optimization, machine learning, speech and natural language processing, deep learning, optimization in machine learning.

• Reproduced a RoBERTa ChatGPT/Human text classification model from a paper achieving >0.999 acc.
• Set up multiple LLM APIs and on-device models to produce more training text which achieved better
generalizing performance over the baseline model. 
(The repo was private due to academic requirements and the setting of GitHub Classroom).

ChatGPT Detector

Wrote the frontend, intermediate, and backend of the compiler in Java.

Pascal Interpreter & Compiler

For problems including Parallel-Odd-Even-Transposition-Sort, Mandelbrot Set Computation, N Body Computation, and Heat Distributions, I implemented different parallel programming algorithms with Pthreads, MPI, and OpenMP and ran benchmarks and tests on all of the libraries.

Parallel Programming

- Wrote the MIPS assembler and simulator in C++ for instruction execution. Kind of like the backend executor + frontend/intermediate stuffs that I did for the compiler course at SJSU. 
- Wrote a single-cycle and a multi-cycle pipelined CPU in Verilog with hazard handling.

Multi-cycle pipelined CPU in Verilog

• Implemented traditional object detection algorithms with OpenCV with manual feature selection.
• Trained & fine-tuned STOA models including Faster R-CNN, SSD, and YOLO to compare performances.
• Wrote Bash scripts to train and log results after individually setting up cloud GPU resources.
(The repo was private due to the setting of GitHub Classroom)

VOC2012 Object Detection Task

• Implemented components OS including process in kernel, threading with lock, memory virt, IO, and fs.
• Implemented algorithms like deadlock avoidance, resource alloc, CPU scheduling, and page replacement.

Operating System Course Project

• Implemented data preprocessing with NLP techniques like tokenizing, normalizing, and padding.
• Iterated pre-trained models like BERT, DeBERTa, and RoBERTa and parameters and got a silver medal.

Kaggle Feedback Prize Silver Medal

- Built an interactive law answering and document template generation with GPT-4 & RAG on pgvector (HNSW). 
- Built the front-end UI and backend streaming and querying with React, TypeScript deployed on Vercel. 
- Scraped multiple states law data, splitted and implemented Neo4j graph structures for better retrieval.

Ask Abe AI

A React Native iPad LeetCode client. The project was sold to an anonymous startup. Only an early stage of the project is kept.

PadCoder

Feb 2022 - May 2022
• Built a C++ library based on HDF5 that reads and parses massive volumes of hierarchical data in parallel.
• Developed parallel CCA algorithm in C++ and NumPy; also, gradient descent algorithm in NumPy.
• Distributed the NumPy implementation workload using the Dask library and the C++ with MPI.

Chinese University of Hong Kong, Shenzhen

Research Assistant

Jun 2020 - Aug 2020
•	Implemented and deployed web scrapers with Puppeteer; set up Chron jobs and Google Sheets on GCP. 
•	Developed Puppeteer extensions and scripts to circumvent bot detection mechanisms.

Python Developer Intern

Jan 2021 - Feb 2021
•	Implemented an interactive heatmap component with D3.js and Vue.js; built a desktop app with Electron to boost clients' satisfaction. 
•	Implemented a C++ library on Raspberry Pi 4 to to handle general-purpose input and output (GPIO) for the company's sensor.

Software Engineer Intern

May 2022 - Aug 2022
• Built OpenShift Operators with Operator SDK in Golang which impacted >50 user issues and test cases.
• Built OpenShift Console Plugins with React and TypeScript that impacted two major releases.
• Built department-wise collaborative dashboard and editor in React and SQLite impacted >200 people.
• Involved in quality assurance of the OpenShift console, focusing on automating test cases with Cypress.
• Contributed to OpenShift related projects; responsible for debugging Jenkins CI and fixing Ruby scripts.

Jul 2021 - Aug 2021
- Responsible for optimize the data tracking within a video playing component for a research project of Prof. Zhang. (https://sme.cuhk.edu.cn/en/teacher/182). 
- Responsible for optimize performance for a image heavy website for data tracking. Responsible for compressing assets on the server.

• Implemented feature engineering and data augmentation for videos based on pix2pix and TensorFlow. \
• Participated in model training & serving with TensorFlow Serving; exposed APIs for the RSD to consume. 

Jun 2021 - Aug 2021
- Built a landing page, article page, social page, admin page, and rich-text article editing/publishing page with React, Node, and MongoDB. 
- Integrated the admin article publishing page with Notion, so my client was able to sync between his Notion documents and the admin page seemlesssly.

Contract Full-stack Developer

• Built a full stack live2d AI Anime voice chatting app using React Native, Next.js, Supabase, tRPC, and Tamagui.

• Implemented text and audio streaming in React Native using fetch polyfill, with OpenAI and Elevenlabs.

• Built live2d animation using both Unity and Pixi.js. Implemented motions, background music, and speech.

• Oversee the entire workflow from design to product. Led a team of 4 developers. Assigning issues including 

Founding Engineer

Feb 2023 - Apr 2023
• Implemented Dolby Vision PC ICM generation SDK with .NET Core and support portal with Blazor.
• Improved the UI/UX & API Design for Dolby Vision support portal with ASP.NET, jQuery, and Vue.js.
• Finished twice as many features/issues as my team anticipated before my onboarding.