Konstantin Gukov
Senior Software Engineer at Microsoft
Zurich, Zurich, Switzerland
Summary
🤩
Rockstar🎓
Top SchoolKonstantin Gukov is a senior software engineer based in Zurich with over a decade of experience building reliable backend systems for large-scale enterprises, currently solving complex technical challenges at Microsoft after tenures at Google and Yandex. He specializes in low-latency Python and C++ services, productionalizing critical infrastructure, and designing resilient platforms—from IIoT factory automation and serverless payment pipelines to large-scale simulation and data governance. A pragmatic generalist, he blends SRE rigor (incident response, migration, and launch reviews) with hands-on engineering, CI/CD and observability work. Konstantin is also an active open-source contributor, improving the usability and robustness of the popular gpt4all Python bindings for local LLMs. His background in mathematics and computer science underpins a measured approach to complex systems and performance optimization.
12 years of coding experience
7 years of employment as a software developer
Master's degree, Mathematics and Computer Science, 5.0, Master's degree, Mathematics and Computer Science, 5.0 at Ural State University named after A.M.GorkyGerman Language, German Language at Goethe-InstitutMathematics and Computer Science, Mathematics and Computer Science at Yandex School of Data Analysis
German, English, Russian
Stackoverflow
2,152reputation
327kreached
45answers
6questions
Github Skills (12)
api10
python10
apidoc10
llm-inference10
refactor9
refactoring9
error-handling9
vk6
nodejs6
docker6
javascript6
passportjs6
Programming languages (19)
Github contributions (5)
nomic-ai/gpt4all
May 2023 - May 2023
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 reviews, 3 comments in 1 day
Contributions summary:Konstantin primarily focused on improving the `gpt4all` Python bindings. They implemented features such as optional verbosity and thread control. The user also made various code improvements, including refactoring code for better readability and error handling, and fixing indentation issues. Their contributions demonstrate a focus on improving the robustness and usability of the Python API.
ai-chatllm-inference
gukoff/vm
Jun 2021 - Oct 2023
Contributions:14 PRs, 14 pushes, 15 branches in 2 years 3 months
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