Technical Product Manager at NVIDIA DRIVE, working on DriveOS for autonomous vehicles and safety-critical systems. Before that, I worked on AI infrastructure at Microsoft Azure, the EC2 Virtual Private Cloud at AWS, and ran a motion design studio for 6 years. I studied Computer Science at Columbia University and am a deferred MBA candidate at Wharton.
// 02.experience
where_i've_worked;
Technical Product Manager
- ▸Founding product owner for a new safety-certifiable OS variant: defined the vision, ASIL-certification roadmap, and pricing model targeting a $20–25B market across 200+ engineers.
- ▸Designed an AI-powered specification pipeline cutting documentation turnaround by 80%+ across 2,000+ features, with full cross-product traceability.
- ▸Own DriveOS ecosystem readiness end-to-end: validation framework, developer journeys on DRIVE AGX Thor hardware, and automated tooling to catch gaps before they reach external devs.
Product Manager Intern
- ▸Prototyped the original AI spec generation tool in Python, the intern project that seeded the production pipeline, eliminating 50+ hours of technical writing per release cycle.
- ▸Proposed a centralized collateral architecture that became the foundation for the production knowledge graph.
Technical Product Manager Intern (Azure)
- ▸Built a RAG-based AI Copilot on Azure OpenAI end-to-end (retrieval pipeline, ETL architecture, and feedback loop), reducing PM workload by 12.5% across 300+ internal users.
- ▸Built a live Power BI data layer for server cluster monitoring, reducing stale issues by 70%.
Software Development Engineer Intern
- ▸Built a modular CoAP Response Collection Engine, reducing data collection latency by 30%.
- ▸Automated snapshot generation and testing for production reliability at scale.
Data Science Intern
- ▸Co-authored internal research on anomaly detection in securities data, achieving 98% detection accuracy across imbalanced, domain-specific datasets.
Software Engineer Intern
- ▸Built a Flask web app for tCell API endpoint testing with secure authentication, improving testing accuracy and usability for the dev team.
- ▸Refactored internal APIs and shipped updates to production, resolving critical client-reported issues and improving product stability.
- ▸Performed deliberate security testing (SQL injections, XSS attacks) on vulnerable applications to identify and fix bugs, bolstering app resilience.
Founder & Lead Designer
- ▸Ran a motion design studio for 6 years: 50+ projects for Microsoft, PBS Digital Studios, and others. Managed a 10-person remote team.
- ▸Specialized in CGI, physics-based simulations, and 3D point cloud environments.
// education
Columbia University
B.S. Computer Science
Magna Cum Laude · 4.0 GPA · May 2025
The Wharton School
MBA, AI for Business
Deferred enrollment · 2028
// 03.experiments
things_i've_built;
/* click any card for more detail */
AI Short Film | Telescope
ArchiveA slow descent into the unsettling truth of modern life: routines, screens, and the facade we maintain. Created using Sora, After Effects, and Cinema 4D.
// 04.photography
through_the_lens;
Photos coming soon.