About Me
I build ML systems for autonomous vehicles and safety-critical applications. My work spans computer vision for real-time perception, unsupervised learning for robust deployment, and developing safety validation frameworks for AI systems.
What makes my approach different: I spent 6+ years investigating what happens when systems fail. I've analyzed 300+ vehicle accidents, designed safety-critical electronics that shipped to production, and served as a technical witness explaining failures to courts and stakeholders. That background means when I build ML systems, I'm already thinking about edge cases, failure modes, and safety validation—not as an afterthought, but as part of the design.
I've led teams (Formula SAE captain), gained multi-stakeholder consensus on critical safety issues, and served on technical standards committees (NATM). I understand both the engineering and the organizational challenges of deploying AI safely.
Experience
ML for Safety-Critical Systems
Developing computer vision systems for autonomous vehicle validation (CARLA/AutoSAR), fleet risk assessment, and real-time safety monitoring. Focus on robust deployment: unsupervised learning for diverse conditions, edge case handling, and failure mode analysis.
Vehicle Safety Engineering (6+ years)
Investigated 300+ incidents as corporate technical witness. Designed safety-critical electronics (2 patents). Found critical supplier documentation errors and coordinated multi-business-unit response. NATM technical committee (Member of the Year, 2022).
Systems Engineering Leadership
Led Formula SAE team through complete vehicle development. Built products from prototype to production. PE license in mechanical engineering. Track record of cross-functional leadership and stakeholder consensus-building.
Technical Expertise
- ML Engineering - Computer vision, supervised/unsupervised learning, real-time inference, model deployment
- Safety-Critical AI - ADAS validation, safety case development, edge case testing, failure mode analysis
- Automotive & Robotics - ROS2, CARLA/AutoSAR, embedded vision systems, sensor integration
- Safety Risk Management - 6+ years incident investigation, hazard analysis, technical witness, standards committees
- Production Systems - Patent holder (vehicle electronics), shipped products, PE license
Education & Credentials
- M.S. Engineering - Arizona State University (GPA: 3.76)
- B.S. Engineering (Electrical Systems) - Arizona State University
- Professional Engineer (PE) - Mechanical: Machine Design & Materials
- Certified Fire and Explosion Investigator (CFEI) - NAFI
- ASE Certified Master Light Automotive Technician