As Founder and VP of Engineering at Graphcomp, I develop algorithms that enable computers to understand what they are seeing, and I help startups build new engineering teams involving 3D imaging and computer vision.I've been developing 3D algorithms/systems since 1972, computer vision since 1986, scalable media systems since 1995, IoT devices since 2005, and 3D computer vision mobile apps since 2008.While I continue to have extensive hands-on, cross-platform development experience - my primary value to a startup is in building multi-discipline engineering teams, from 0-50.During the 80s, I developed new color spaces tuned for ethnically-neutral recognization of skin tones. In the 90s, I developed secure/scalable media services and IoT devices that filtered porn, and provided visual scoring/searching for similar images/videos. Since then, I've developed computer vision algorithms for recognizing contexts/shapes/faces in images/videos.While at Apple, I drove face recognition technologies, and have been granted 14 patents related to my computer vision research there.In 2014, I created a 3D medical imaging system that converts 2D grayscale CT/MRI scans into real-time/interactive 3D segmented color models.At Naked Labs, I designed/wrote 100% of our Node IoT server system and 3D mobile code - resulting in a fully functional prototype that led to our Series A funding.At Bellus3D, we created a photo-realistic 3D face/head scanner. I designed/built the Node IoT device that controlled up to 9 wireless depth cameras, and wrote all the networking code for our android-based depth cameras.As VP of Engineering at AEMass, we're focused on solving complex computer vision problems, to capture and help understand the world around us.In my "spare" time, I've conceived/self-funded/developed/launched VizCat - a Cloud/Mobile-based system for event organizers to scan/verify covid vaccination QR Codes (SMART/GreenPass/VDS) and provide contact tracing.