Mykyta Luzan is an ML Platform Engineer with 8 years of engineering experience and a Master’s in Computer Science (AI) from the University of Tartu, specializing in building production-ready, scalable ML systems. He has delivered end-to-end MLOps solutions across fraud prevention, user behavior analysis, NLP/LLM-driven customer support, satellite imagery, OCR and RPA, consistently bridging research and production. At companies like Pipedrive and Noones he focused on automating model lifecycles—data pipelines, feature engineering, deployment, monitoring and error analysis—while mentoring junior engineers. His background in GIS and computer vision (Sentinel-2, Planet) and experience shipping OCR/document parsing pipelines show a rare mix of spatial, tabular and NLP expertise. Published in technical blogs and papers, he stays current with cutting-edge ML methods and recently expanded into on-chain protocol studies at Polkadot’s academy, hinting at an interest in combining ML with decentralized systems.
8 years of coding experience
5 years of employment as a software developer
PBA Lucerne Campus Protocol (On-Chain) Track, PBA Lucerne Campus Protocol (On-Chain) Track at Polkadot Blockchain Academy
Master's degree Computer Science, Master's degree Computer Science at University of Tartu Institute of Computer Science
Bachelor's degree Software Engineering, Bachelor's degree Software Engineering at Kharkiv National University of Radio Electronics
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