Gleb Berjoskin
ML Solutions Architect at Nebius
Warsaw, Masovian Voivodeship, Poland
Summary
🤩
Rockstar🎓
Top SchoolGleb Berjoskin is an ML Solutions Architect and former founder with 8 years of experience building production NLP and computer vision systems that tie directly to business outcomes. He combines hands-on engineering—shipping transformer-based dialogue systems, image retrieval improvements, and on-device LLM inference—with product-driven sales support, having led presales architecture that closed enterprise deals. Comfortable in startups and large teams, he has delivered faster training pipelines, improved retrieval and ranking metrics, and built AIOps backend features showcased in open-source keep contributions. Gleb’s background spans end-to-end stacks (PyTorch, CoreML, vLLM, AWS/GCP) and practical research into Transformer architectures, making him effective at turning ambiguous AI ideas into measurable value from day one.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Mathematics and Computer Science, Bachelor of Science - BS, Mathematics and Computer Science at Belarusian State University
Github Skills (14)
alertdialog10
monitoring10
alertifyjs10
database-management10
alertview10
alerts10
python10
incident-management10
postgresql9
workflow-automation9
dockers7
kubernetes-pods7
docker7
kubernetes7
Programming languages (3)
Github contributions (5)
keephq/keep
Jun 2024 - Sep 2024
The open-source AIOps and alert management platform
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:27 reviews, 30 PRs, 112 pushes in 3 months
Contributions summary:Gleb primarily contributed to the backend of the AIOps platform, focusing on incident management and alert processing. Their work involved modifying the incident miner's behavior, particularly in the context of PMI matrix calculations and alert querying within the `keep` repository. They also made changes related to database interactions, including optimizing PMI matrix storage and handling potential lazy loading issues. Furthermore, the user's commits indicate efforts in improving the efficiency and functionality of the incident mining and summary generation processes.
aiopsalarmalarmsalertingalerts
GlebBerjoskin/linterhub
Apr 2018 - Apr 2018
Contributions:200 pushes, 1 branch in 17 days
static-analysisanalysis-toolscode-analysis
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