Sparse index replication engine: tracks the S&P 500, Nasdaq-100, Russell 2000 and Nifty 50 with a small basket of stocks (~10% of each index) using a custom ADMM solver for L1-regularized portfolio optimization. Built for direct indexing, tax-loss harvesting and low-cost benchmark tracking. Python, FastAPI, Next.js, Azure.

Passive index replication of the NASDAQ-100 using Mixed Integer Programming that selects an optimal 25-asset fund from 97 equities to maximise correlation-weighted similarity across rolling market regimes.

Quoting options on the MSCI ACWI ETF where no liquid options market exists: replicating country-ETF basket, Black-Scholes pricing, delta-hedging backtest, and Monte Carlo validation of the hedging error.

Replicate the NASDAQ-100 with a 25-asset index fund using mixed integer programming to maximize correlation-based similarity.