Pablo Palafox
Co-Founder at HappyRobot
San Francisco, California, United States
Summary
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Top SchoolPablo Palafox is a seasoned computer vision researcher and entrepreneur, currently Co-Founder of Happyrobot (YC S23), where he is building a copilot for computer vision applications and AI voice agents. Based in San Francisco, he combines hands-on engineering with rigorous research from 9 years in academia and startups. He earned a Master of Science with high distinction from Technical University of Munich and pursued PhD studies in Computer Vision & Deep Learning, working with groups led by Angela Dai and Matthias Niessner. His work spans visual SLAM, 3D scene understanding, and deep-learning-based scene flow, complemented by industry experience at Meta FRL and robotics projects like autonomous underwater vehicles and autonomous aerial landing. Pablo also blends technical leadership with business acumen through the ThePowerMBA program, reflecting a dual focus on product, research, and entrepreneurship. He continues to ship at Happyrobot while advancing AI-powered perception research that translates to real-world copilots for CV workflows.
9 years of coding experience
6 years of employment as a software developer
Technical University Munich
English, Spanish, French, German, Italian
Github Skills (76)
python10
depth-estimation10
validation10
pydantic-v210
segmentation10
depth10
siggraph9
computer-vision9
gpu9
semantic9
openai9
semantic-segmentation9
autonomous-driving8
deep-learning8
datasets8
Programming languages (4)
Github contributions (5)
DeformableFriends/NeuralTracking
Oct 2020 - Jul 2021
Official implementation for the NeurIPS 2020 paper Neural Non-Rigid Tracking.
Contributions:10 commits, 1 PR, 7 pushes in 8 months
pytorchneurips-2020deep-learningneuripscomputer-vision
pablopalafox/npms
Jun 2021 - Nov 2021
Official implementation of NPMs: Neural Parametric Models for 3D Deformable Shapes - ICCV 2021
Contributions:3 commits, 2 PRs, 2 pushes in 4 months
pytorchiccvparametriccomputer-visionsiggraph
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