Pavlo Bashmakov

Software Engineer Computer Vision And 3D Mapping at B GARAGE

San Francisco, California, United States
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Summary

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Senior
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Pavlo Bashmakov is a software engineer specializing in computer vision, 3D mapping and lidar SDKs, with 10 years of experience building perception and mapping systems for robotics and autonomous machines. He spent the last four years architecting Ouster's multi-platform lidar SDK, custom compressed file formats, and OpenGL/WebGL visualizations, and now applies that expertise to autonomous drone development at B GARAGE. Comfortable across C++, Python, WASM/Emscripten and cloud streaming, he blends modern ML curiosity with classical SLAM and systems engineering to make sensor data useful in real products. A serial founder and early technical leader, he also led an AR/VR lab and launched product-focused teams, showing an unusual mix of hands-on engineering and company-building. Based in San Francisco, Pavlo pairs deep technical design (file formats, cross-OS bindings, mapping integrations) with pragmatic product instincts for real-world autonomy.
code10 years of coding experience
job19 years of employment as a software developer
bookIgor Sikorsky Kyiv Polytechnic Institute
bookNanodegree, Robotics Software Engineer, Nanodegree, Robotics Software Engineer at Udacity
bookOnline Course, Coursera, Machine Learning, Online Course, Coursera, Machine Learning at Stanford University
languagesEnglish, Russian, Ukrainian
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Github Skills (63)

json-parser10
posenet10
pcl10
javascript10
visualization10
python10
marshalling10
rendering10
zero-copy10
typescript10
cross-platform10
3d-mapping10
odometry10
java10
serialization10

Programming languages (6)

TypeScriptC++JavaScriptJupyter NotebookPythonCuda

Github contributions (5)

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bexcite/CarND-Capstone

Sep 2017 - Oct 2017

Simple ROS based system for self-driving car ("Carla") with traffic light detector built on Tensorflow Detection API
Contributions:51 commits, 2 PRs, 57 pushes in 1 month
rosself-driving-cartensorflowpythoncpp
bexcite/apolloscape-sfm

Sep 2018 - Jun 2019

C++ Structure from Motion (SfM) pipeline with OpenGL visualization for Apolloscape Dataset
Contributions:114 commits, 11 pushes, 1 branch in 8 months
cppopenglstructure-from-motionvisualizationsfm
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