Yurij Mikhalevich
Staff Engineering Lead at QA Wolf - 80% Test Coverage in 4 Months
Australia
Summary
🤩
Rockstar🎓
Top SchoolYurij Mikhalevich is a Staff Engineering Lead with 13 years of experience building high-load distributed cloud systems, specializing in video processing/streaming, computer vision, and NLP. He combines full‑stack execution with system architecture and database design, repeatedly shipping end-to-end features from low-level C++ services to TypeScript/React web apps. At Lightning AI he led the zero-to-one web platform and deep integrations across docs, marketing, and auth, and he’s contributed UI and doc improvements to the widely used PyTorch Lightning ecosystem. A hands-on manager and mentor, he runs a pro bono study group since 2021 to help students learn product-centric engineering. Pragmatic and platform-agnostic, Yurij moves quickly across teams to deliver user-focused solutions while actively supporting open source through published Python and Node.js modules.
13 years of coding experience
12 years of employment as a software developer
Master’s Degree Applied Computer Science, Master’s Degree Applied Computer Science at Kuban State Agrarian University (KubSAU)
Russian, English, German, French
Stackoverflow
1,560reputation
76kreached
17answers
14questions
Github Skills (17)
pytorch10
python10
machine-learning10
ai10
documentation10
data-science9
react9
javascript8
http-get6
frontend6
hash6
synchronous6
nodejs6
cryptography6
qtnetwork6
Programming languages (15)
Github contributions (5)
Lightning-AI/pytorch-lightning
Aug 2022 - Dec 2022
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:49 reviews, 12 commits, 26 PRs in 4 months
Contributions summary:Yurij primarily focused on improving the documentation and user interface of the PyTorch Lightning application. They fixed Google Tag Manager integration within the Lightning App documentation, removing hardcoded elements and setting up the appropriate ID. Furthermore, they removed unnecessary elements from the app template and corrected broken links within the documentation's web UI sections. Their contributions also included updates to the Lightning App documentation, specifically related to muse card and lit_tabs functionalities, enhancing the overall user experience.
pythonheadachespytorch-modelsdata-sciencehandling
yurijmikhalevich/homebrew-tap
Aug 2023 - Mar 2025
The official homebrew tap for rclip
Contributions:35 PRs, 84 pushes, 39 branches in 1 year 6 months
homebrewhomebrew-tap
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