Adham E is a research engineer with a decade of experience spanning AI, robotics, and ML systems, currently advancing video and image understanding at Google DeepMind in San Francisco. He has led and contributed to diffusion-model research and architecture at Scale AI, worked on robotics foundation models at Physical Intelligence, and applied AI to legal workflows at Harvey. Earlier in his career, he developed real-time control and motion planning for Formlabs' 3D printers and helped create the OpenQuadruped open-source robot platform, which has earned 330+ GitHub stars. An alumnus of UC Berkeley's EECS program, he blends rigorous academic training with hands-on deployment across startups and major tech labs. He remains active in the open-source and research communities, shaping practical AI systems that balance theory with real-world constraints in the Bay Area.
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
High School, High School/Secondary Diplomas and Certificates, Alumni, High School, High School/Secondary Diplomas and Certificates, Alumni at Canyon Crest Academy
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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