Artem Hnilov
Machine Learning And Tsetlin Machine Researcher
France
Summary
👤
Senior🎓
Top SchoolArtem Hnilov is an Explainable AI researcher and engineer with 15 years of software development experience, currently advancing the Tsetlin Machine family through research, optimization, and novel applications like TM-based text generation. Based in France, he combines a strong academic foundation in electronics and communications with hands-on backend engineering across startups and products, including Django work and contributions to ClickHouse. His recent publication on the Fuzzy-Pattern Tsetlin Machine reflects a focus on interpretable, logic-driven ML alternatives to deep learning. Artem’s background as a senior Python and backend developer informs pragmatic system design, performance tuning, and embedding strategies for ML models. He bridges research and production, moving experimental explainable-AI ideas toward deployable implementations. An uncommon thread in his profile is pairing deep theoretical work with real-world backend contributions, making him effective at both prototyping novel algorithms and integrating them into scalable services.
15 years of coding experience
8 years of employment as a software developer
Master's degree, Electronics, Radio, and Communications Engineering, Master's degree, Electronics, Radio, and Communications Engineering at National Aerospace University -'Kharkiv Aviation Institute'
Github Skills (165)
programming-language10
embedded10
cpp10
sql10
ai10
root-finding10
rust10
science10
julia10
database10
recurrent10
numerical10
analytics10
machine-learning10
hpc10
Programming languages (8)
Github contributions (5)
BooBSD/Tsetlin.jl
Apr 2024 - Feb 2025
The Tsetlin Machine library with zero external dependencies performs quite well.
Contributions:1 review, 2 PRs, 97 pushes in 10 months
julia-languagemachine-learningmultithreadingreinforcement-learningtsetlin-machine
BooBSD/node-odesk
Mar 2012 - Jul 2013
Contributions:24 commits in 1 year 4 months
apinode-jsjavascriptnodejsjs-bindings
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