Nikolai Zenovkin is an NLP engineer and data scientist with 8 years of experience building production-ready ML systems and cloud-native infrastructures from Helsinki. He has repeatedly moved models to scale—improving face detection and ID inference by 30%, doubling ML pipeline quality with MLOps, and architecting AWS pipelines to analyze hundreds of millions of user events. As a leader at startups and GDPR-focused StageZero, he boosted dataset quality by 35% through novel aggregation and QC algorithms and helped translate customer needs into data collection requirements. Comfortable across computer vision, NLP and backend engineering, he combines hands-on model work with delivering reliable, testable production integrations. Trained as an engineer at Bauman Moscow State Technical University, he’s equally skilled at aligning cross-functional teams and shipping measurable business impact.
8 years of coding experience
13 years of employment as a software developer
Master of Engineering (MEng), Electronic Equipment Design and Technology, Master, Master of Engineering (MEng), Electronic Equipment Design and Technology, Master at Bauman Moscow State Technical University
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