Rakesh Nori

Rakesh Nori

Cambridge, MA

About

Senior @ Harvard pursuing an M.S. + B.A. in Computer Science. Into building brilliant but simple data-driven products.

Contact

Twitter
GitHub

Work Experience

2024 — Now
New York City

Spend Management Team

2022 — Now
San Francisco, CA

2023: ML Team. Full-stack developer for anomaly detection app (typescript, python). Implemented latest deep learning anomaly detection methods (AERs, LSTMs, GATs) using TensorFlow.

2022: Cloud Networking Team. Automated IPAM through Python, provided observability on all internal networking using Aviatrix + Terraform

2021 — 2022
Cambridge, MA

Provided feedback and supplementary instruction on college-level statistics concepts for 30+ students. Held sections and office hours.

2021 — 2021
San Jose, CA

Scientific Computing Team. Deployed a server wrapped around the company's time series database to query data using gRPC, Kubernetes, and C++. Constructed an unsupervised anomaly detection model on time-series battery conductivity data using Python.

2019 — 2020
Boston, MA

Non-Coding Lab @ BIDMC (HMS). Developed a way to simulate RNA-Seq. Developed a deep learning model to predict the presence of MHC Class I tumors based on simulated non-coding RNA-Seq data.

Education

2020 — 2024
B.A. Computer Science at Harvard
Cambridge, MA

GPA: 3.94/4.0. Notable classes: Systems Programming, Data structures and algorithms, Machine Learning, Programming Languages, Theoretical Computing, Probability & Inference

2022 — 2024
Cambridge, MA

(Concurrent with Bachelors). GPA: 3.97/4.0. Notable classes: Distributed Systems, Systems Development, Data Science, Linear Algebra & Big Data, Scientific Computing, High-Performance Computing for Science

Side Projects

2023

Chatbot Teaching Assistant Agent that uses your notes and textbooks to answer your homework questions in a step-by-step manner. Built using python, streamlit, langchain, openAI, and chromaDB.

2023

Better Understand your Journal Entries. Uses LLMs to perform sentiment analysis on journal entries.

Volunteering

2019 — Now
Cambridge, MA

managed a 5-member software team in developing full-stack apps for various non-profit organizations. Helped these organizations on a variety of objectives from integrating ML technologies to reduce carbon emissions to expanding reach through websites.

2018 — 2018
Santa Cruz, CA

Developed a Virtual Reality game using C# to help people with Autism-Spectrum Disorder (ASD) better develop emotion recognition skills.

Certifications

2023
Generative AI with Large Language Models from Coursera
2020
Algorithms on Graphs from Coursera
2020
Algorithmic Toolbox from Coursera