I build backend services and ML-powered APIs that ship: tested endpoints, containerized deploys, CI/CD.
M.Com in Finance, so I'm most useful where code meets money: fintech, risk and analytics.
- 🏦 credit-risk-api: end-to-end credit risk system. Gradient boosting (0.77 AUC) with calibrated probabilities, served through FastAPI, with a React dashboard, Docker, AWS S3/EC2 and CI/CD via GitHub Actions. Live endpoint.
- 🔀 3 merged PRs to
yfinance, a 22k★ library. (Link each PR here.) - 📊 alpha-engine: momentum and mean-reversion factor research on 20 large-cap NSE stocks (2019–2023), with an Indian transaction-cost model. Results and limitations are documented in the repo.
- 🎲 Derivatives Pricing Engine: Black-Scholes, Binomial CRR and Monte Carlo (100K paths), with put-call parity checks.
- 🧠 FinBERT sentiment pipeline: 4-stage NLP pipeline, 0.96 macro F1.
Open to remote Python backend roles (FastAPI, Django), and to ML and fintech engineering.