I’m a UC Berkeley student and technical co-founder working at the intersection of software, finance, and product. I turn complex information into tools people can use.
From financial workflows to market research. Ideas made tangible.
An acquisition-diligence workspace connecting seller documents, financial analysis, and reviewer decisions.
A personal multi-asset research workstation combining public market data, interactive charts, cited financial research, and a paper portfolio.
A discovery interface for public Polymarket data, connecting unusual activity, market movement, and the context behind a price change.
A wallet research platform built around traceable events, reliable ingestion, and validation that keeps historical evidence in order.
A paper execution engine for studying order books, model decisions, and simulated fills on Monad’s Kuru exchange.
Kalshi–Polymarket arbitrage research that checks whether contracts settle the same way before treating a price gap as an opportunity.
An empirical policy analysis of youth smoking using CDC survey data, an event study, and an interactive dashboard.
Full-stack development, financial-analysis workflows, structured extraction, and review controls for acquisition diligence.
Updated loyalty and rewards interfaces and a Python backend, using pandas for data processing. Developed recommendation logic and LLM prompts for customer reward goals.
Led service projects and troop operations, coordinating logistics, resources, and teams.
Designed personalized learning plans in math and chemistry, helping students work through concepts and build confidence.
Identify the decision, the available evidence, and what remains uncertain.
Turn the question into a working interface, data workflow, or model that can be inspected.
Test assumptions and failure cases. Keep simulation results separate from real-world outcomes.
I’m studying Economics, Data Science, and Cognitive Science at UC Berkeley, Class of 2028. As a technical co-founder and a builder, I work across software, financial analysis, and product design.
I’m especially interested in tools that help people inspect evidence and make better decisions.
Open to software engineering, technical product, and AI opportunities.
Let’s talk about what you’re building.