L Zhou is a Senior Research Scientist in San Francisco with 8 years of experience bridging deep learning, computer vision, and linguistics. With a PhD in Linguistics from UCLA, they translate rigorous academic methods into practical ML products—authoring experiments across nine countries and shipping tooling like a video object removal repo that leverages optical flow. At startups they’ve built analytics and evaluation frameworks from scratch, scaled teams across continents, and cut reporting turnaround by 27x while advising CTO-level priorities. Known for spotting resource bottlenecks early, they combine technical depth in speech and vision with strong cross-functional communication and operational rigor.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Arts (B.A.), Linguistics, Bachelor of Arts (B.A.), Linguistics at Swarthmore College
Doctor of Philosophy (Ph.D.), Linguistics, Doctor of Philosophy (Ph.D.), Linguistics at University of California, Los Angeles
Just draw a bounding box and you can remove the object you want to remove.
Role in this project:
ML Engineer
Contributions:12 commits, 10 pushes, 10 comments in 20 days
Contributions summary:L's commits primarily involve modifications to a Python-based project focused on video object removal, likely leveraging machine learning techniques. The initial commit sets up the repository. Subsequent commits introduce library dependencies, fix typos, and add example usage, which suggests a focus on project setup and usability. The user is also working with optical flow, which indicates a computer vision focus.
A simplified PyTorch implementation of Siamese networks for tracking: SiamFC, SiamRPN, SiamRPN++, SiamVGG, SiamDW, SiamRPN-VGG.
Contributions:30 commits, 24 pushes, 2 branches in 2 months
pytorchdeep-learningsimplifiedsiamesetracking
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L Zhou - Senior Research Scientist at Grid Dynamics