Technical Product Leader & AI Engineer
A UC Berkeley Applied Mathematics graduate specializing in AI workflows, medical AI, and systems architecture. My background combines rigorous analytical modeling, Automotive SPICE process engineering, and SLAM/Multi-object tracking. I focus on a problem-first, outcome-driven approach to shipping technical products.
- SpecFlow Compliance-grade spec tracking in Git, designed for the era of AI-assisted coding. It replaces traditional ALM tools by keeping requirements, architecture, and audit records as Markdown files directly in your repository.
- AI Unpacked (LLM Mastery Series) An interactive, comprehensive curriculum designed to build intuition for Large Language Models using analogies and interactives, making AI literacy approachable.
Beyond product engineering, I actively explore and build in several domains:
- Algorithms & Robotics: Navigation algorithms, SLAM, RIEKF, and IMU-GPS loosely/tightly coupled systems.
- Modeling & Analysis: Quantitative analysis, control theory, and general machine learning modeling.
- Hardware & Manufacturing: 3D printing and CAD design.