Andrei Zhabinski
Staff ML Engineer at DataSnipper
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolAndrei Zhabinski is a Staff ML Engineer in Amsterdam with 15 years of experience building production-grade AI and data systems, from petabyte-scale pipelines and 100k+ RPS services to lightweight NLP models. He leads R&D at the intersection of generative models and systems engineering—shipping synthetic data pipelines, a generative search engine, and an automatic fact-checker that powered 100+ specialized classifiers. Prior roles span big-data platforms at Adform and Wargaming to product-focused ML at Flo and Toloka, reflecting deep expertise in scalable inference, fine-tuning, and serving. An active contributor to the Julia language core, he’s improved array handling and serialization in a prominent open-source project, signaling both low-level rigor and high-level research fluency. Colleagues rely on him to translate frontier LLM and diffusion research into reliable, production-ready services.
15 years of coding experience
17 years of employment as a software developer
Researcher Computer Science, Researcher Computer Science at Belarusian State University of Informatics and Radioelectronics
Github Skills (12)
array-iterator10
array-comparison10
data-serialization10
set-operations10
indexing10
operation10
array-merge10
julia10
serialization10
scientific-computing8
numerical-methods7
hpc7
Programming languages (14)
Github contributions (5)
JuliaLang/julia
Mar 2016 - May 2016
The Julia Programming Language
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 commits, 5 PRs, 26 comments in 1 month
Contributions summary:Andrei primarily contributed to the Julia programming language's core libraries, particularly focusing on improvements and bug fixes related to array handling, serialization, and indexing. Their work involved modifications to the serialization process, shared array implementations, and several core functions. These changes addressed indexing issues and optimized performance within critical areas of the language's internals.
sciencejulia-languagemachine-learningjulialangpetsc
dfdx/masque
Dec 2013 - Apr 2015
Contributions:21 commits, 3 pushes in 1 year 4 months
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