AWS AI/ML Engineer Intern
Harvard BA/MA in Mathematics, CS & Statistics
I build scalable ML pipelines and algorithmic-trading models. At AWS, I built data analysis pipeline with AWS Bedrock, CloudWatch, and Lambda to cut query latency by 40 % for systems handling 10 000+ weekly requests.
- Cloud & Infra: AWS (EC2, S3, Lambda), Docker, Kubernetes
- Quant Modeling: Stochastic processes, time-series analysis
- Trading Systems: LightGBM ensembles, back-testing frameworks
- Deep Learning: PyTorch, TensorFlow, Vision Transformers
Project | Impact |
---|---|
networkx-mcp-server | Secure graph analytics inside LLM workflows |
music21-mcp-server | Production music analysis API with full observability |
drw-crypto-prediction | Sub-30 s inference on 600 M rows for high-freq crypto strategy |
music-gen-ai | Real-time multi-instrument text-to-music generation |
Harvard University – BA/MS in Mathematics, CS & Statistics (2026)
1st Place – Harvard Data Science Kaggle (2025)
1st Place – MIT Quantum Hackathon (2025)
1st Place - MIT Mystery Puzzle Hunt (2023)