At Keshav Enterprises, I implemented a Python and PostgreSQL pipeline that replaced manual spreadsheet tracking of sales inquiries and orders with a queryable source of truth. I also built a RAG tool that drafts customer replies from catalog records and benchmarked forecasts across eight product lines.
At the Dataism Laboratory for Quantitative Finance, I built a CNN–Transformer model for forecasting price direction from high-frequency market data. I documented experiment design and model comparisons and presented results in weekly lab meetings.
My projects include FundForge, a hedge-fund simulation with double-entry journals and an independent NAV certification control, and a Windows runtime that supervises AI coding agents. I also worked on Uber’s “Uber-Teens” prototype, conducting market analysis and presenting product strategy with UI/UX mockups and user flows.
