Adham Elarabawy is a research engineer with a decade of experience building cutting-edge AI systems across robotics, medical imaging, diffusion models, and legal AI, currently on the Video & Image Understanding team at Google DeepMind. He has led ML research and product-grade engineering—architecting Scale AI Forge and advancing context-enriched diffusion models—while also contributing to robotics platforms like the open-source OpenQuadruped. His work spans academia and industry, from novel multi-head networks for accelerated 3D MRI at Berkeley AI Research to real-time control algorithms for Formlabs 3D printers. Comfortable moving models from research to production, he pairs deep hands-on algorithmic development with practical system design and has a pattern of joining early-stage teams to drive high-impact technical foundations.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS Electrical Engineering and Computer Science (EECS), Bachelor of Science - BS Electrical Engineering and Computer Science (EECS) at University of California, Berkeley
An open-source 3D-printed quadrupedal robot. Intuitive gait generation through 12-DOF Bezier Curves. Full 6-axis body pose manipulation. Custom 3DOF Leg Inverse Kinematics Model accounting for offsets.
Contributions:218 commits, 4 PRs, 200 pushes in 2 years 1 month
inverse-kinematicsignitionaxisgaitsdf
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Adham Elarabawy - Research Engineer at Google DeepMind