At NUMERIX, I built a scalable market-risk compute pipeline on AWS Batch that splits portfolios into market-by-trade-partition jobs, with 10k+ running in parallel. I optimized runtime by isolating slow trades and distributing the rest round-robin, while supporting spot or on-demand capacity per request.
I also built risk calculation and intraday PnL Explain workflows, and led delivery of a standalone scenario-generation API with async job tracking. I hold an M.S. in Financial Engineering from NEW YORK UNIVERSITY, TANDON SCHOOL OF ENGINEERING; my capstone backtesting pipeline beat the S&P 500 (26% vs. 11% annualized).

