UC Berkeley cognitive science grad interested in operations, GTM, and product.
I'm a Cognitive Science grad from UC Berkeley with a background in research, data analysis, and financial operations. I've spent time doing cognitive science research at Berkeley's Computational Cognitive Science Lab studying human-AI interaction, and built financial reporting systems and automated workflows managing accounts across multiple clients. I'm technical by nature, detail oriented, and drawn to work that sits at the intersection of data and decision making.
Computational Methods of Cognition, AI & Business, Blockchain, Data Structures, Statistics
Real-time dashboard predicting Bitcoin price direction for Polymarket's 15-minute prediction markets. Live WebSocket feeds + TradingView charts + Claude-powered signal generation.
Chrome extension adding tab-based navigation to Google Maps -- manage multiple routes simultaneously without losing active navigation state.
AIGC prompt optimization tool built in 72 hours at Cal Hacks (2,000+ participants). Helps non-technical users generate effective text-to-image content via Stable Diffusion API.
GitHub