Summary
Sameh Khamis is a co-founder and Lead Research Scientist at Rembrand with 14 years of experience advancing AR, 3D capture, and generative AI for media and entertainment. He previously held research leadership roles at NVIDIA, Google, and Microsoft Research, where he worked on pioneering projects such as real-time holoportation and personalized mesh-based hand models. His PhD work combined action recognition, tracking, and structured inference, reflecting a long-standing track record of turning deep research into practical systems. Based in San Francisco, he bridges academic rigor and startup execution, repeatedly shipping novel algorithms into production environments. Notably, Sameh’s career threads—from parallel graph algorithms to multi-label action models—show a consistent focus on marrying scalable engineering with perceptual AI.
14 years of coding experience
14 years of employment as a software developer
Bachelor’s Degree, Computer Engineering, Bachelor’s Degree, Computer Engineering at Alexandria University
Master’s Degree, Computer Science, Master’s Degree, Computer Science at Western University
The University of Maryland, College Park