I'm a technical leader with 15+ years designing and developing advanced radar- and camera-based ADAS & AV systems. I've spent my career on both sides of the same divide: perception algorithms on one side, and automotive production reality on the other.

I've owned sensor sourcing through RFI/RFQ, eSOR, and SOW; decomposed vehicle requirements into L1–L4 sensor specifications with full traceability; developed radar, camera, and lidar algorithms; and driven robust V&V under ASPICE and the V-model. I've taken imaging radar from requirements to production acceptance, and I currently lead an algorithm team building monocular Visual SLAM for autonomous parking.

Along the way I've delivered real outcomes: a six-figure manufacturing saving from redesigning a radar calibration process on an EV program, 360° imaging-radar integration on a robotaxi platform, and award-winning tooling automation at a Tier-1 supplier. I care most about the unglamorous parts that decide whether a perception system actually ships: calibration lines, qualification chambers, synchronization, and the safety case.

This site doubles as my writing home: an ongoing technical series on ADAS/AV perception, built to grow. I'm actively deepening my modern ML/AI practice, and expect to add tutorials, research notes, and the occasional rambling (plus some travel and personal posts) over time.