Konstantin Dorichev
Site Reliability Engineer at Clearway Integration
Saint Petersburg, Saint Petersburg, Russia
Summary
👤
Senior🎓
Top SchoolKonstantin Dorichev is a Site Reliability Engineer and deep learning/data science enthusiast with 17 years in IT and 13 years focused on telecom, currently based in Saint Petersburg. He blends hands-on SRE and ML tooling experience with a strong background in solution architecture from Ericsson and product-focused roles at Cyrillica, where he progressed from AI engineer to SW team lead. Konstantin contributes to notable open-source projects like early fast.ai development—refactoring PyTorch notebooks and improving data pipelines—which reflects his practical Python and PyTorch expertise. His career began in systems and embedded software, giving him rare end-to-end familiarity from low-level systems to ML model pipelines and production reliability. He also maintains a public alternative CV on GitHub, signaling transparency and a preference for reproducible, well-documented technical work.
17 years of coding experience
23 years of employment as a software developer
Master’s Degree Mathematics and Computer Science, Master’s Degree Mathematics and Computer Science at Space-Engineering Military Academy named after Alexander F. Mozhaysky, St-Petersburg
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
pytorch10
notebook10
data-pipeline10
data-pipelines10
python10
documentation9
machine-learning8
data-science8
Programming languages (6)
Github contributions (5)
fastai/fastai_dev
Aug 2019 - Oct 2019
fast.ai early development experiments
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:20 commits, 42 PRs, 15 comments in 1 month
Contributions summary:Konstantin primarily contributed to the early development of the fast.ai project, demonstrating proficiency in Python and related libraries like PyTorch. Their work involved refactoring and updating existing code, including improvements to imports, parameter renaming, and correcting typos. They were responsible for modifying data pipeline and tutorial notebooks to align with newer PyTorch versions and corrected documentation, improving the clarity and correctness of project resources.
pythondata-sciencemachine-learningfastainbdev
kdorichev/navs
Feb 2019 - Feb 2025
Contributions:8 pushes, 1 branch in 6 years 1 month
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