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Founder & CTO @ GenPeach AI | Building Visual Foundation Models | Ex-WANNA (acq. by Farfetch) | 10+ yrs in AI | Kaggle Top 0.5% & Competitive Programming Expert
Co-Founder & CTO at GenPeach AI, where we build large-scale visual foundation models trained from scratch and deployed into real-world products. I focus on developing generative AI systems for hyper-realistic human generation, identity consistency, and controllable image and video synthesis — covering the full stack from data pipelines and distributed training to inference infrastructure and product deployment. Previously, I led AI initiatives at WANNA (acquired by Farfetch), building real-time virtual try-on technologies used by millions of users across global fashion brands and platforms. I have 10+ years of experience in AI, with a strong background in generative AI, distributed training, and large-scale production systems. I’ve built and led AI teams and trained large generative models from scratch. Background & achievements: • Built and managed high-performing AI teams and large-scale production systems • BS/MS in Computer Science — ITMO University (#1 ICPC university) • Research publications in NLP & Computer Vision (50+ citations) • Kaggle Top 0.5% competitor • Competitive programming: Top-4 VKOSHP (CIS), Two-time prize winner — Belarusian Republican Olympiad
ITMO University
Master's degree, Mathematics and Computer Science, software design and development
January 1, 2016 – January 1, 2018
ITMO University
Bachelor's degree, Mathematics and Computer Science
January 1, 2011 – January 1, 2016
GenPeach AI
CTO & Co-Founder
January 1, 2025 – Present
Poland
WANNA
Team Lead Machine Learning Engineer
December 1, 2019 – April 1, 2025
Vilnius, Lithuania
NeuroHive
Team Lead Machine Learning Engineer
June 1, 2018 – December 1, 2019
St Petersburg, St Petersburg City, Russia
eLama.ru
Machine Learning Engineer
September 1, 2017 – June 1, 2018
St Petersburg, St Petersburg City, Russia
22th out of 459 (Top 5%): NFL 1st and Future - Impact Detection
November 1, 2020 – January 1, 2021
Achieved 22th place out of 459 participating teams (silver medal) in the “NFL 1st and Future - Impact Detection” competition on Kaggle, in which participants were asked to develop a computer vision model that automatically detects helmet impacts that occur on the field.
18th out of 935 (Top 2%): Lyft Motion Prediction for Autonomous Vehicles
September 1, 2020 – November 1, 2020
Achieved 18th place out of 935 participating teams in the “Lyft Motion Prediction for Autonomous Vehicles” competition on Kaggle, in which participants were asked to build models that reliably predict the movement of traffic agents around the AV, such as cars, cyclists, and pedestrians. Our final approach that combine data processing methods (Python) and advanced deep neural networks (PyTorch) allowed us to reach the top place on the leaderboard.
Imagine Cup 2015
December 1, 2014 – April 1, 2015
Virtual Reality (VR) runner-game that helps you train your concentration/relaxation skills. We used Kinect as a main controller and Neurosky to track brain activity.
Основы статистики
Stepik
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including competitive Kaggle achievements and startup experience, indicates a strong drive for innovation and continuous learning. Their leadership roles and involvement in hiring suggest a collaborative and growth-oriented mindset. The transition to CTO & Co-Founder further highlights entrepreneurial spirit and strategic thinking, aligning well with a culture that values initiative and impact.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and mentoring skills through their Team Lead roles. Their experience in early-stage startups indicates adaptability and a proactive approach to product direction and core AI technology development. Collaboration with cross-functional teams is evident, suggesting good operational fit for integrated product development.