Captured trade allocation FIX messages using C++ and SQL, enhancing a trade debugger for 101 users and reducing troubleshooting from 20 hours to minutes.

Handled discrepant FIX messages from international exchanges to capture post-trade messages by buffering and sequencing them based on available FIX tags.

Implemented multi-threading with Boost job pools to avoid blocking main business logic and developed a thread-safe cache for pre-processing trades.

Resolved race conditions in multi-process database operations by implementing atomic database transactions

Used Python to develop Regression models w/ XGBoost, Market-Making & Market-Taking, ETF Pairs Trading, Arbitrage, and Black-Scholes Options pricing algorithms

Developed C++ wrapper of REST API endpoints to improve ease of streaming of low-latency data.

Developed real-time monitoring infrastructure of API service to track anomalies with Be�tter Stack and Java.

Improved subscription conversion rate and user retention by 64% with Stripe checkout dashboards and JavaScript.

6th place in Systematic Equities; 8th place in High Frequency Blockchain

Sponsored by Jane Street, SIG, HRT, DRW, Old Mission, Theta Data, databento