Giancarlo Di Biase
Staff Computer Vision Engineer & Tech Lead at Meta
Zurich, Zurich, Switzerland
Summary
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Senior🎓
Top SchoolGiancarlo 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.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS Mechanical Engineering, Bachelor of Science - BS Mechanical Engineering at Virginia TechArtificial Intelligence Engineer Nanodegree, Artificial Intelligence Engineer Nanodegree at UdacityMaster of Science - MS Robotics, Master of Science - MS Robotics at ETH Zürich
Spanish, Italian, English
Github Skills (2)
anomaly-detection3
semantic-segmentation2
Programming languages (1)
Github contributions (5)
giandbt/Control-of-Mobile-Robots
Aug 2018 - Aug 2018
Contributions:8 commits, 5 pushes, 1 branch in 1 day
giandbt/synboost
Dec 2019 - Aug 2020
Paper implementation of SynBoost
Contributions:35 commits, 1 push, 11 comments in 8 months
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