penincillin
Research Engineer at RL-R, Pittsburgh
United States, China
Summary
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RockstarResearch Engineer with 11 years of experience currently contributing at Meta Reality Labs Research in Pittsburgh, combining applied machine learning with practical systems work. Known for hands-on contributions to the popular frankmocap project—a single-view 3D hand and body pose estimator—where they improved rendering, installation, and robustness of whole-body hand detection pipelines. Comfortable bridging research and engineering, they focus on making cutting-edge CV models deployable by cleaning up code, fixing bugs, and streamlining demos. Based in the United States with roots in China, they bring a global perspective to collaborative open-source and research-driven projects. Notably, their work emphasizes reproducibility and usability, turning research prototypes into reliable developer-facing tools.
11 years of coding experience
Github Skills (11)
computer-vision10
pytorch10
pose-detection10
python10
pose-estimation10
3d10
machine-learning9
image-processing8
ml-deployment7
continuous-deployment7
opencv6
Programming languages (5)
Github contributions (5)
facebookresearch/frankmocap
Sep 2020 - Nov 2022
A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator
Role in this project:
ML Engineer
ML EngineerContributions:52 commits, 6 PRs, 42 pushes in 2 years 2 months
Contributions summary:penincillin primarily contributed to the development and improvement of the `frankmocap` project, a single-view 3D hand and body pose estimator. Their contributions included updating the `pytorch3d` renderer and installation scripts, fixing bugs in hand detection within the whole-body mocap pipeline, and removing redundant code. Further work involved updating demo code and options and making updates to the output of the frankmocap demo.
bodycomputer-visionsingle-viewcomputer-graphicssiggraph
penincillin/vim
Oct 2015 - Feb 2018
Contributions:9 commits, 8 pushes, 1 branch in 2 years 4 months
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