Pavlo Pidlypenskyi
Senior Software Engineer at Google
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolPavlo Pidlypenskyi is a Senior Software Engineer based in Mountain View with 15 years of experience applying computer vision and machine learning research to production applications. At Google since 2016, he focuses on mesh visualization and graphics tooling—contributing front-end and back-end work to high-profile open-source projects like TensorBoard and TensorFlow Graphics. He blends practical engineering (lazy loading, metadata processing, request handling) with user-facing improvements that make complex 3D and point-cloud data easier to explore. Trained with a Master’s in Computer Software Engineering and time at Stanford, he’s equally comfortable refactoring core data pipelines and tuning visual clients for real-world workflows. An often-overlooked strength is his ability to translate research prototypes into robust, frontend-friendly formats that accelerate adoption across teams.
15 years of coding experience
Stanford UniversityMaster Degree, Computer Software Engineering, Master Degree, Computer Software Engineering at Harkivs'kij Deržavnij Tehnicnij Universitet Radioelectroniki
Russian, English
Stackoverflow
8,231reputation
1.9mreached
117answers
44questions
extjs
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browser
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cross-browser
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google-chrome
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caching
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http
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Github Skills (26)
threejs10
rasterizer10
javascript10
ras10
rasterize10
3d-graphics10
python10
raster10
console10
rasterizing10
google-chrome10
tensorflow10
refresh10
extjs9
caching9
Programming languages (4)
Github contributions (5)
tensorflow/graphics
Jun 2019 - Jul 2021
TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow
Role in this project:
Back-end Developer
Back-end DeveloperContributions:32 commits, 11 comments, 2 issues in 2 years 1 month
Contributions summary:Pavlo primarily focused on enhancing the TensorFlow Graphics library, specifically within the mesh visualization components of TensorBoard. Their contributions include fixing data processing errors, implementing lazy loading of meshes, and improving data handling for mesh summaries. The user also refactored data providers and implemented the processing of mesh metadata into a frontend-friendly format. Additionally, they contributed to improvements in the ray and quaternion modules, which are central components of the graphics library.
differentiablecomputer-graphicslayerstensorflowgraphics
tensorflow/tensorboard
May 2019 - Dec 2021
TensorFlow's Visualization Toolkit
Role in this project:Front-end Developer
Front-end DeveloperContributions:10 commits, 17 PRs, 69 comments in 2 years 7 months
Contributions summary:Pavlo primarily contributed to the front-end components of the mesh visualizer plugin for TensorFlow's TensorBoard. They introduced the initial client-side implementation of the mesh visualizer, enabling the visualization of PointCloud data. The user also worked on passing the runColor to the viewer and updating dependencies. They also made changes to handle cancelled requests and supported the initial camera position configuration, improving the user experience and functionality.
machine-learningtensorflowvisualization
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