CS undergrad at the Georgia Institute of Technology. Currently exploring how to leverage AI to reimagine enterprise internal communication from the ground up, inspired by my obsession with deep work, flow states, and output optimisation. Beyond that, I'm interested in low-level programming and quantitative trading.
Updates
- [Summer 2025] Interned as a Quantitative Trader at UBS for the summer. Wrote software to simulate idiosyncratic market movements for an options portfolio and pricing tools for bond trading using historical quantitative data. Learned a tremendous amount about options trading.
- [Spring 2025] Helped with research on creating a dataset for central bank communication sentiment analysis as a part of GT FSIL. Paper was published in NeurIPS 2025 Main Conference.
- [Summer 2024] Spent the summer as an analyst at Balbec Capital. Rewrote the data aggregation and processing backend to cut down runtime by over 80%, enabling live risk tracking of all investments for the $4.5B fund.