Summary
Mark Polyak is a Team Lead and Senior Data Scientist with over a decade of experience building end-to-end ML systems that span geospatial analytics, real-time computer vision, and large language models. He has led distributed teams to productionize AI across smart city infrastructure, fintech, and martech—delivering platforms for live asset tracking, real-time monitoring, and optimized municipal services using Hadoop, Spark, Kafka, NiFi and GIS. Mark couples deep research experience from a long academic stint with hands-on engineering, having produced practical solutions like LLM-driven personalized marketing, an AI resume generator that analyzes GitHub activity, and CV models that cut operational costs for utilities and hospitality. Comfortable with both leadership and senior IC roles, he is fluent in LLM tooling and fine-tuning, PyTorch, MLOps and computer vision stacks, and is open to remote opportunities in the EU, US, or Israel. An often overlooked strength is his ability to translate complex geospatial and streaming data problems into concise product features that measurably improve city and business operations.
10 years of coding experience
9 years of employment as a software developer
Master of Science (M.Sc.), Automation of Scientific Research and Engineering, 5.0, Master of Science (M.Sc.), Automation of Scientific Research and Engineering, 5.0 at Санкт-Петербургский Государственный Университет Аэрокосмического Приборостроения / Saint Petersburg State University of Aerospace and Instrumentation
Bachelor of Science (B.Sc.), Computer Science, 5.0, Bachelor of Science (B.Sc.), Computer Science, 5.0 at Saint Petersburg State University of Aerospace and Instrumentation
Russian, English