Machine Learning And Tsetlin Machine Researcher at Self-employed
France
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Summary
👤
Senior
🎓
Top School
Artem 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.
16 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'
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