Lyne Tchapmi is a research engineer specializing in generative AI and video generation, currently advancing video synthesis at NVIDIA's Cosmos team after 11 years in computer vision and ML roles. With a PhD-level background from Stanford and MIT degrees in EECS, Lyne bridges deep academic research—evidenced by publications on Google Scholar—with applied engineering across industry leaders including Facebook, Bosch, and Dexterity. Past work spans 3D scene understanding, semantic segmentation, and productionizing 2D instance segmentation pipelines, reflecting a rare mix of theoretical rigor and product-focused delivery. Based in the San Francisco Bay Area, Lyne combines metric-driven model evaluation and large-scale data/annotation frameworks to move cutting-edge research into deployable systems. A detail readers might miss: Lyne has experience both in academic challenge design and in standardizing evaluation across product lines, showing strength in defining how success is measured as well as building the models themselves.
11 years of coding experience
3 years of employment as a software developer
Master of Engineering - MEng, Electrical Engineering and Computer Science, Master of Engineering - MEng, Electrical Engineering and Computer Science at Massachusetts Institute of Technology
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Stanford University
Source code for baselines of the Stanford 3D Point Cloud Completion Benchmark (completion3d.stanford.edu) and TopNet: Structural Point Cloud Decoder, CVPR 2019
Contributions:10 commits, 4 PRs, 8 pushes in 1 year
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.