ABOUT

Building a multimodal ML inference system in Rust with user-specific LoRA adapters across daily/weekly/monthly horizons — producing individual-level risk predictions from wearables, labs, vitals, nutrition, and behavioral signals. Built a counterfactual prediction engine (/what-if) grounded in causal ML, a Temporal-orchestrated nightly personalization pipeline, and scaled to a 300+ person waitlist. Incorporated as a Delaware C-Corp with HIPAA-compliant Postgres/Redis infrastructure from day one.

Lead 6,000+ members across 126+ chapters in 30+ states and 4 countries delivering financial literacy and investment education. Raised $50,000+ with partners including Chipotle and Intertwined, ran a Stock Market Competition awarding scholarships to 50+ participants, and organized 3+ guest lectures from industry leaders including a Wells Fargo VP. Previously served as State Vice President.

Co-founded a student-led nonprofit; grew the program to serve 20+ middle schoolers across 4 weeks of structured ML curriculum. Designed GreenSight, guiding students from 0 coding experience through a full ML pipeline. Students shipped a model identifying 15+ Bay Area high-CO₂ locations and submitted it to Sunnyvale city government; in talks with Mercury News for a feature.

Independent contractor. Built an analytics platform integrating YouTube and Twitter (X) APIs, monitoring 10+ channel metrics and competitor benchmarks in real time. Shipped 5+ interactive Streamlit/Plotly dashboards and integrated Google Gemini AI for natural language querying — reducing manual reporting by ~60%.

Bought, restored, and resold 10+ damaged vehicles and motorcycles — engine rebuilds, electrical troubleshooting, bodywork, and welding. Generated $10K revenue in 3 months.