
Machine Learning Engineer
Saint Petersburg, Russia
Machine learning engineer turning data into production models for recommendation, forecasting, and computer vision.
Machine learning engineer turning data into production models for recommendation, forecasting, and computer vision.
I build ML pipelines from experimentation to deployment — feature stores, model serving, monitoring, and retraining. Shares Python/AI stack overlap with automation engineers but focused on predictive systems and MLOps.
Previously at e-commerce and ad-tech companies optimizing ranking and personalization at scale.
Core stack, tools, and specialties.
Selected work showcasing delivery quality and technical depth.
Real-time product recommendations lifting CTR 22% and revenue per session 14% for a 2M-SKU e-commerce catalog.
Role: Lead ML Engineer
Edge-deployed computer vision system achieving 96% defect detection accuracy on high-speed manufacturing lines.
Role: Lead ML Engineer
Hybrid Prophet + LSTM forecasting API reducing retail stockouts 15% across 120 store locations.
Role: ML Engineer
DataMinds Russia
FULL_TIME
Sep 2020 — Present
Saint Petersburg, Russia
Leads ML platform team for retail analytics products.
AdVector
FULL_TIME
Feb 2018 — Aug 2020
Moscow, Russia
Developed bid optimization and audience models for programmatic ads.
Professional Program · Machine Learning
Jan 2016 — Jan 2018
Advanced ML curriculum with industry projects.
Master of Science · Applied Mathematics and Computer Science
Jan 2015 — Jan 2017
AWS
Issued Jan 2023 — —
Issued Apr 2022 — —
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