Summary
Gena Kukartsev is a Senior Machine Learning Engineer with over 20 years of data-driven research experience and a decade focused on production ML systems and team leadership. He designs and ships deep learning and transformer-based models for natural language, speech recognition (including children’s speech), and educational technology, taking solutions from research prototypes through ETL, cloud deployment, and operational support. He led and scaled ML teams at startups and enterprise companies, built core TensorFlow models powering a virtual reading tutor used in schools across 49 states, and holds two EdTech patents. Earlier in his career he conducted experimental particle physics research at LBNL, CERN, Fermilab and SLAC, publishing in top journals and discovering a rare heavy-flavor process—an uncommon research-to-product trajectory that informs his rigorous approach to model validation. Currently based in Camas, WA, he focuses on customer feedback analysis and cloud-native ML services that translate natural language into actionable quality insights.
10 years of coding experience
22 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at University of California, Berkeley
Bsc., Msc., Physics, Bsc., Msc., Physics at Novosibirsk State University (NSU)
Russian, English