Pavel Khaustov
Software Engineer at Meta
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolPavel Khaustov is a software engineer in London with a PhD in Computer Science and around a decade of industry experience building high-performance, production-grade systems. At Meta he develops and scales a distributed rendering service that reduced latency and error rates while enabling new animation and image-fitting use cases for partner products. His background spans ML, computer vision and privacy-preserving AI—from leading data science teams and deploying Spark-based pipelines to integrating private on-device translation models at Brave. A seasoned competitive programmer and former ACM ICPC coach, he combines research rigor with hands-on engineering and has contributed tested OpenCV examples used by the community. Colleagues know him for finding practical algorithmic improvements (e.g., mesh and labeling optimizations) that unlock real-world performance at scale.
8 years of coding experience
10 years of employment as a software developer
Bachelor's degree, Computer Engineering, 4.78 / 5.0, Bachelor's degree, Computer Engineering, 4.78 / 5.0 at Tomsk Polytechnic University
Russian, English
Github Skills (7)
computer-vision10
opencv10
c-language10
cprogramming-language10
camera-calibration9
optical-flow8
kalman-filter7
Programming languages (5)
Github contributions (5)
oreillymedia/Learning-OpenCV-3_examples
Jun 2017 - Jul 2017
Role in this project:
Backend Developer
Backend DeveloperContributions:12 commits, 6 PRs, 6 pushes in 27 days
Contributions summary:Pavel focused on formatting and testing example code for OpenCV 3. They updated several example files, including those related to camera calibration, Kalman filtering, and optical flow. The contributions involved code modifications, and formatting updates within the OpenCV framework.
KhaustovPavel/pkhau-wrote
Aug 2019 - Aug 2019
Contributions:6 pushes, 1 branch in 6 days
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