I design and ship systems where machine learning meets real-world financial decisions — from clinical risk models to portfolio allocation to secure on-chain infrastructure.
- 🧠 AI/ML for finance — portfolio optimization, fraud detection, and predictive risk models
- 💳 Full-stack fintech platforms — modern UX backed by scalable, production-grade APIs
- 🔐 Web3 infrastructure — security- and compliance-first tooling built for usability, not just whitepapers
| Project | Description | Stack |
|---|---|---|
| 🩺 MaternaSense | Clinical decision-support tool for early preeclampsia risk prediction | React, FastAPI, scikit-learn |
| 📈 RL Portfolio Optimizer | PPO-based reinforcement learning agent for dynamic asset allocation across market regimes | Python, PyTorch, Pandas |
| 🔗 Tychee SDK | Web3 fintech SDK enabling secure card tokenization with self-custody on Stellar | TypeScript, Solidity, Stellar |
| 💰 Smart Finance Tracker | Full-stack expense tracking and analytics platform | React, Node.js, MongoDB |
| 📊 Stock Trend Classifier | ML model predicting next-day stock direction from technical indicators | Python, scikit-learn, yfinance |
| 🛡️ RetailFlow Backend | Production-style backend with JWT auth and role-based access control | Java, Spring Boot, MySQL |
💡 Replace the placeholder links above with each project's actual repo URL.
Languages
Frontend
Backend & APIs
AI/ML
Web3
Tools & Cloud
- 💼 Software Engineering / ML / FinTech roles (US market)
- 🔬 Research collaborations in AI + Finance
- 🌐 Web3 / blockchain product building
- 🏆 Hackathons & high-impact startup ideas
Let's build something that matters — reach out anytime.