You’ll find a curated selection of my public work here. Much of my engineering work from internships and industry projects is kept private to respect company IP, but I’m always happy to walk through or provide access to specific codebases referenced in my resume.
If you’d like to review something in particular, feel free to reach out:
Email: jaimanpandya@email.com
LinkedIn: https://www.linkedin.com/in/jaimanpandya
I'm a Mathematics and Computer Science student at Northeastern University focused on:
- Backend systems & distributed infrastructure
- Cloud-native services (AWS, Docker, Kubernetes)
- Machine learning pipelines & model experimentation
- System reliability, caching, and performance optimization
- Full-stack development with TypeScript, React, and Next.js
- YC AI Startup School — Top 10% Attendees; invited to private dinner with YC Partner
- YC 2025 Summer Conference — Selected as 1 of 60 nationwide undergraduate attendees
- YC Founders & Builders — Invited participant
- Jane Street Summer Social — Selected attendee
- IMC Prosperity Quantitative Trading Challenge — Top 5% globally
- USACO Platinum Division — Top 1% high school competitive programmers
- MIT Winter Informatics Tournament — Top 20%
- MIT Informatics Tournament — Top 15%
- University of San Diego Research Symposium — Presenter
A simulation and visualization toolkit for evaluating caching behavior, latency variance, and backend error patterns in large-scale feed systems. Models control vs. treatment pipelines and visualizes p50/p95/p99 latency, cache-hit ratios, and error rates.
Tech: Python, Streamlit, NumPy, Pandas, Redis (modeled), AWS (modeled)
- Distributed microservice orchestration
- FastAPI/Node.js backend APIs with Redis + PostgreSQL
- Docker/Kubernetes-based container orchestration
- ML pipelines: CNNs, PyTorch, attention modules
- React/Next.js full-stack development
- System reliability, latency analysis, caching strategies
If you'd like to discuss my work, collaborate, or request access to private internship repositories:
Email: jaimanpandya@email.com
LinkedIn: https://www.linkedin.com/in/jaimanpandya