Built AI systems for real-time detection of bullying, cheating, and intrusions; after proving research traction and delivering early results, was promoted to CTO to lead engineering and launch the product

Led a cross-functional engineering team of ~20 (ML, backend, frontend, mobile, UX/UI, DevOps)

Architected Kepler Vision platform for real-time processing, alerting, and analytics in educational institutions

Built the engineering organization from scratch; owned end-to-end hiring: sourcing, interviews, onboarding

Deployed system in pilot school in Astana; improved safety, reduced response time, and increased transparency for parents and staff

Set up ML research workflows and built core CV systems (YOLO, keypoint interaction, face recognition) for event and action detection; validated feasibility through MVPs deployed in real school environments

Established company's ML/AI function, leading a team on innovative projects for the gaming industry:

Anticheat system for Counter Strike 2 and CS:GO (computer vision based solutions for WallHack cheats and sophisticated deep learning and mathematical algorithms for AimBot, Spinbot type of cheats)

Recommendation systems for content suggestions and gaming marketplace

Match-making and ranking system for normal and custom modes of team playing in Counter Strike

Scaled the team from 2 to 5 senior ML engineers, overseeing the entire hiring process

Managed cross-team communication and stakeholder collaboration to ensure alignment, optimizing project delivery

Gaming platform that prevents cheating in multiplayer games, total raise of $17.8 million

Designed and taught Electronics & Digital Design course for second year undergraduate students of Faculty of Information Technologies

Taught Calculus (1st year students), Introduction to Python (2nd year students), Statistical Inference (3rd year students)

Designed machine learning algorithms for brain-computer interface systems, specifically the EEG-based P300 Speller, resulting in the publication of 5 academic papers