MEng CS @ Cornell’26 • Ex‑SWE intern (Commure / Athelas) • Full‑stack & ML builder turning data into real‑world impact
- 🔭 Currently: sharpening applied‑ML & optimization skills in Cornell Tech labs.
- 💡 Previously: built ETL + AI pipelines that recovered $2‑3 M for US hospitals.
- 🏆 On the side: 3× first‑place hackathon winner, patent holder, ex‑founder.
Python TypeScript React Angular FastAPI Node.js
SQL / ClickHouse / Snowflake Docker AWS Kubernetes TensorFlow PyTorch
| Project | What it is | Impact / status |
|---|---|---|
| ForgeMind | AI copilot plugin for Fusion 360 / CATIA / SolidWorks / NX | Flags out‑of‑spec features at design‑time → ‑25 % rework, prevents 10+ assembly errors / release |
| JOBBOX | Full‑stack gig‑economy marketplace (React + Node + MongoDB) | MVP in 10 weeks; onboarded 20+ early users and signed pilot contracts |
| Healthdemic | Patented wrist device + mobile app mapping epidemic contact networks | Eigenvector / Katz centrality model pinpoints high‑risk locations in real time |
| XFunds | Crypto & NFT trading bots (Python) | Executed 2,500+ trades, yielding 38 % IRR and enabling a mid‑five‑figure exit |
| Zero‑Carbon‑Ecosystem | Blockchain that tokenizes the IPCC 1.5 °C carbon budget | 1st‑place at BC Hacks; issues 400 B $ZCARB tokens to price CO₂ per transaction |
| PAVE | ML‑driven decentralized banking model | BC Hacks finalist |
- Product Studio (Fall ’25) – interdisciplinary, 15‑week sprint where my team prototypes a data‑driven health‑tech product for an NYC industry sponsor.
- CS 5785 Applied Machine Learning – building end‑to‑end pipelines for classification, clustering and dimensionality reduction on image, text and sensor data.
- CS 5787 Deep Learning – training CNN/RNN models at scale while balancing compute, latency and fairness constraints.
- ORIE 5381 Optimization for AI – convex & large‑scale optimization techniques for routing, scheduling and resource‑allocation problems.
- Startup Studio (Spring ’26) – will co‑found a venture‑scale idea, prototype it, and pitch for Cornell Tech Startup Award funding.
