Computer vision startup which transforms player data in various sports with cameras in real-time with score prediction and understanding of game rules.• Processing videos at 120 FPS. Interacting with computer vision models, real-world event registration, and delivering content to clients over websockets. • Analytics for FIFA, NHL, NBA, Rocket League based on Computer Vision (250+ events/match). • Team lead of 3 members (2 ML Engineers, 1 QA). • Full development lifecycle of CI/CD pipelines + regression tests utilizing AI models on GitHub/GitLab runners. • Test coverage on all projects >90%. • Implementing linters and formatters (flake8, black, pylint, mypy, etc). • Designing and implementing APIs for external integrations. • MVP of analytics + augmented reality project for snooker based on AI. • Developing an admin panel with RBAC and augmented reality configuration.

A product company serving 4 million clients, specializing in developing electronic document flow solutions and business optimization services.• Implementation of payroll reports for 500k+ calculations per month, with aggregation by year, department, and payment types.• Development of microservices (10+), designing APIs for internal users.• Query optimization.• Creating frontend components for an internal React-like platform.