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AI/ML Platform Engineer | AI Trust, Security & Reliability
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Hi, I’m Eugene, an AI/ML Platform Engineer with 10+ years of experience building large-scale data and AI systems. My work focuses on trustworthy AI platforms, spanning MLOps, security, reliability, governance, and production AI infrastructure. Alongside hands-on engineering, I have experience leading teams, mentoring engineers, and translating complex technical challenges into business outcomes.
Peter the Great St.Petersburg Polytechnic University
Master of Science (M.S.), Computer Software Engineering
January 1, 2015 – January 1, 2016
Saint Petersburg State University
Master of Science (M.S.), Cognitive Science
January 1, 2014 – January 1, 2015
Saint Petersburg State University
Master of Science (M.S.), Psychophysiology & Quantitative Behavioral Measurement
January 1, 2009 – January 1, 2014
Sumsub
Senior AI/ML Platform Engineer
June 1, 2025 – Present
Gameram
Head of ML & Data Platform
May 1, 2022 – May 1, 2025
OK.RU
Lead Machine Learning Engineer
January 1, 2019 – April 1, 2022
OK.RU
Senior Machine Learning Engineer
November 1, 2016 – January 1, 2019
Segmento / RuTarget
Machine Learning Engineer
November 1, 2015 – November 1, 2016
Segmento / RuTarget
Junior Machine Learning Engineer
December 1, 2014 – November 1, 2015
under nda
Quantitative Researcher
November 1, 2013 – December 1, 2014
Saint-Petersburg State University
Researcher Assistant
April 1, 2013 – October 1, 2013
Certified AI Security Professional (CAISP)
Practical DevSecOps
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse educational background, including Computer Software Engineering, Psychophysiology, and Cognitive Science, which could bring a unique perspective to data analysis. Their career progression from Junior ML Engineer to Head of ML & Data Platform and Senior AI/ML Platform Engineer demonstrates ambition and continuous growth. While the target role is 'Data Analyst', the candidate's experience is heavily skewed towards Machine Learning Engineering and Data Platform leadership. This might indicate a potential mismatch in day-to-day responsibilities, as a Data Analyst role typically focuses more on data extraction, transformation, visualization, and reporting, rather than building and deploying ML systems. However, their strong analytical and data manipulation skills from ML roles are transferable.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight initiative, problem-solving, and impact-driven work (e.g., 'architecting a human-in-the-loop ML platform', 'slashed the timeframe from one month to three days'). Leadership roles (Head of ML & Data Platform, Lead Machine Learning Engineer) suggest strong operational and team management capabilities. The focus on reproducibility and reducing time to market indicates an understanding of operational efficiency.