Summary
Gennady Shtekh is a Data Engineer and Machine Learning practitioner with 13 years of experience combining academic rigor in computer science with hands-on delivery of production ML systems. He has led teams and shipped features that cut demo build and reporting times by orders of magnitude, introduced robust active learning and retraining pipelines, and built core services (ZeroMQ microservice backbone, vector search research) that scaled across B2B and B2G products. Comfortable moving between leadership and individual-contributor roles, he prefers hands-on engineering in NLP and biomedical domains but has broad domain experience from e‑commerce search to legal tech and content classification. Notably, he devised an efficient classification head that matched one-vs-rest performance with 80% less training time and built user-driven retraining tools that materially reduced maintenance costs. Based in Lisbon/Moscow with remote/hybrid flexibility, he brings a blend of discrete optimization insight, moderate DevOps skills, and a track record of turning research ideas into reliable, maintainable production code.
13 years of coding experience
11 years of employment as a software developer
physics and mathematics, physics and mathematics at SESC Ural State University named after A.M.Gorky (СУНЦ УрГУ)
Bachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at Уральский Федеральный Университет
Russian, English