Gleb Sizov

Principal Software Engineer at Vespa.ai

Trondheim, Trøndelag, Norway
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Summary

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Gleb Sizov is a Principal Software Engineer based in Trondheim with 13 years of experience combining machine learning, DevOps and team leadership to deliver production-grade AI systems. He has led full-stack ML development and cloud infrastructure for renewable energy forecasting and optimization, and now contributes to Vespa.ai’s open-source search/ML engine, improving significance search and LLM components. A PhD in AI/NLP and former NTNU lecturer, he bridges rigorous research (NLP, case-based reasoning) with hands-on engineering across Scala, Python and cloud tooling. Known for improving testability and refactoring complex systems, he brings a pragmatic focus on reliability and observability when moving models into production.
code13 years of coding experience
job9 years of employment as a software developer
bookBachelor of Science Software Engineering Distributed Systems, Bachelor of Science Software Engineering Distributed Systems at Narvik University College (HiN)
bookManagement Essentials, Management Essentials at Harvard Business School Online
bookDeep Reinforcement Learning Nanodegree, Deep Reinforcement Learning Nanodegree at Udacity
bookNorwegian University of Science and Technology
languagesEnglish, Norwegian, Russian
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Stackoverflow

Stats
143reputation
10kreached
3answers
1question
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Github Skills (12)

javas10
search-engine10
cpp10
java10
testing10
machine-learning9
algorithm6
javafx6
implicit6
makefile6
yaml6
scala6

Programming languages (8)

TypeScriptJavaC++JavaScriptHTMLJupyter NotebookRubyPython

Github contributions (5)

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vespa-engine/vespa

Aug 2024 - Apr 2025

AI + Data, online. https://vespa.ai
Role in this project:
userBack-end Developer
Contributions:42 reviews, 30 PRs, 110 pushes in 7 months
Contributions summary:Gleb primarily worked on the `vespa-engine/vespa` repository, focusing on fixing and refactoring the significance searcher component. Their contributions included improving test coverage and addressing handling of upper-case queries. They also refactored and extracted methods to improve test readability and fixed a typo in the tests. Furthermore, the user made changes to the LLM component and its tests.
vespacppservingpythondata-science
glebashnik/botsvsquotes

Jan 2015 - Jun 2018

Contributions:9 commits, 7 pushes in 3 years 6 months
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