About me
I started out in ML back in 2017, then got hooked on computer vision in the OpenCV world: consulting projects, a 3D scene reconstruction system that made it to Apple WWDC 2020, and a patent along the way. At Modelplace.AI I tried myself as a tech lead. Then I co-founded KopiKat and found out the hard way what it’s like to do everything yourself, from writing the code to closing the deals.
These days I build agentic systems at Sumsub and vibe-code pretty much everything else.
Experience
AI Things @ Sumsub
2025 – present
- Building agentic systems for a global identity verification and fraud prevention platform
Co-founder / CTO @ KopiKat
2023 – 2024
- Invented the core technology for KopiKat, using generative AI to augment datasets
- Deployed and scaled the solution on Google Cloud, ensuring reliability and performance
- Built and executed the strategy to position KopiKat as a leading solution for dataset enhancement
- Led customer development, gathering insights to refine the product
- Led outreach and drove B2B sales to acquire and retain enterprise clients
Senior Software Engineer @ OpenCV.AI
2022 – 2025
- Headed the development of the company’s internal projects: FitWise, Modelplace, KopiKat
- Designed architecture and infrastructure for vector-based computer vision recommendation systems
- Managed projects from idea to delivery, keeping them aligned with business goals
- Represented the company at key events and webinars
Technical Lead @ Modelplace.AI
2020 – 2022
- Designed and developed a SaaS product providing plug & play AI solutions to democratize AI development
- Led the engineering team building the infrastructure and deploying production-ready CV models
- Integrated customer-centric features, bridging the gap between product and development teams
Deep Learning Engineer @ Xperience.AI
2018 – 2020
- Worked on computer vision consulting projects, including 3D scene reconstruction featured at Apple WWDC 2020
- Co-invented a US patent on generating floor plans and 3D models
- Developed proprietary algorithms to solve real-world CV challenges
Data Scientist @ Neuron.Digital
2017 – 2018
- Built and deployed NLP models for sentiment analysis, document classification and entity extraction
- Scraped large-scale datasets and organized their labeling
- Created web interfaces for real-time model execution and visualization
Highlights and achievements
- Apple WWDC 2020: contributed to a CV consulting project featured at a global tech event
- Patent: co-inventor of US12026840B2, a system for generation of floor plans and three-dimensional models
- KopiKat: designed a generative AI tool that augments datasets and makes models more robust in hard cases
- Modelplace: designed high-load infrastructure for real-time backend responses with variable RPS
- Data science competitions: 1st place at Sbertech / Sberbank Hackathon, 1st place at Intellectual city — a scientist at the crossroads of science
- Publication: Sentiment Analysis Using Deep Learning, NET 2017
- Recommendation letter from OpenCV
Expertise
Areas: Agentic Systems, Computer Vision, Natural Language Processing, Machine Learning, Deep Learning, Generative AI, Software Engineering, ML/DL Ops, Scientific Research, Project & Team Management, Customer Development, Sales
Tech: Python, PyTorch, FastAPI, Docker, Kubernetes, Terraform, Ansible, CI/CD, Linux, Networking, Git, SQL, NoSQL, Vector DB, Redis, MongoDB, RabbitMQ, Google Cloud
Soft skills
- Project management at the intersection of product and development teams
- Communication with external partners and stakeholders
- Talent growth and mentorship, including conducting interviews
Languages: English (fluent), Russian (native)
Education
Higher School of Economics (Russia)
- Master in Data Mining · 2018 – 2020
- Bachelor in Applied Mathematics and Information Science · 2014 – 2018