Summary
Giancarlo Di Biase is a Staff Applied AI Engineer with nine years of experience building production-grade computer vision systems, currently based in Zurich and working at Meta. He has led and scaled body-tracking teams to deliver multiple generations of pose estimation powering photo-realistic avatars and VR experiences, combining research rigor from his ETH Zurich master's work with strong productization skills. His background ranges from real-time retail analytics at Advertima to autonomous systems research at ETH, where his master’s thesis produced a CVPR 2021 paper on pixel-wise anomaly detection for driving scenes. Known for translating academic advances into robust deployed models, he has driven releases like Generative Legs and Inside-out Body Tracking across the Quest ecosystem. Originally trained as a mechanical engineer, he brings a systems-level curiosity for how components interact—an outlook that helps him bridge sensor fusion, control, and perception. Colleagues value him for both technical leadership and hands-on delivery across the full ML lifecycle.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS, Mechanical Engineering, Bachelor of Science - BS, Mechanical Engineering at Virginia Tech
Artificial Intelligence Engineer, Nanodegree, Artificial Intelligence, Artificial Intelligence Engineer, Nanodegree, Artificial Intelligence at Udacity
Master of Science - MS, Robotics, Systems and Control, Master of Science - MS, Robotics, Systems and Control at ETH Zürich
Spanish, Italian, English