Alexander Kovrigin
Machine Learning Researcher at JetBrains
Bremen, Bremen, Germany
Summary
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Senior🎓
Top SchoolAlexander Kovrigin is a machine learning researcher at JetBrains specializing in training LLM agents with reinforcement learning to tackle software engineering tasks and building internal RL platforms and evaluation tooling. With eight years of experience and a strong theoretical background—top academic honors and competition success including a NWERC silver and IMC first prize—he blends rigorous math with practical systems work. His research contributions include co-authoring EnvBench (ICLR DL4C) and work on Long Code Arena and CI Build Repair, where state-of-the-art models still solve only a small fraction of tasks, highlighting his focus on hard, high-impact problems. He has hands-on systems chops from optimizing federated learning integrations at Huawei and publishing on physics-informed deep learning, showing an ability to move ideas from theory to efficient implementations. Based in Bremen and pursuing an MS in Data Science, he is an active open-source contributor and educator who enjoys turning challenging mathematical insights into robust ML tooling for real-world codebases.
8 years of coding experience
Bachelor of Science - BS, Applied Mathematics and Information Science, 9.95/10, Bachelor of Science - BS, Applied Mathematics and Information Science, 9.95/10 at Higher School of EconomicsLyceum "Physical-Technical High School"Master of Science - MS, Advanced Software Technology: Machine Learning Specialization, 1.6/1, Master of Science - MS, Advanced Software Technology: Machine Learning Specialization, 1.6/1 at Constructor University
English, German, Russian, French
Stackoverflow
342reputation
19kreached
0answers
1question
Github Skills (138)
openwisp10
steganography10
wpa10
hotspot10
coordinates10
aircrack-ng10
freeradius10
wifi10
summaries9
captive-portal9
qt9
geographic9
django9
wireless9
csv9
Programming languages (11)
Github contributions (5)
LCA-CI-builds-repair/impacket
Mar 2024 - Jan 2025
Impacket is a collection of Python classes for working with network protocols.
Contributions:27 pushes, 107 branches in 10 months
LCA-CI-builds-repair/serverless-application-model
Mar 2024 - Jan 2025
The AWS Serverless Application Model (AWS SAM) transform is a AWS CloudFormation macro that transforms SAM templates into CloudFormation templates.
Contributions:54 pushes, 205 branches in 10 months
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