People in DSML Kazakhstan

Head of Quantitative Research. 9+ years of experience building and deploying production ML solutions across fintech, marketplaces, investment analytics, and public-sector projects. Developed 50+ models used by more than 9 million users, covering NLP, computer vision, time-series forecasting, recommendation systems, fraud detection, and predictive modelling. Experienced in taking ML products from data preparation and experimentation through deployment, monitoring, and scalable production infrastructure.

I earned my Ph.D. in Math from Hiroshima University in 2008. After a brief stint in the oil and gas industry, I found my way back to academia, joining Nazarbayev University in 2011. There, I began researching machine learning and NLP, eventually focusing on deep neural networks. In 2023, I joined Purdue University Fort Wayne (PFW). My current research explores how modern AI systems memorize, generalize, and use probabilistic models. At both universities, I’ve designed and taught a wide range of courses across statistics and machine learning.

ML-инженер из Казахстана, специализируюсь на computer vision и real-time видеоаналитике. Строю production-системы на NVIDIA DeepStream и TensorRT: распознавание автономеров, трекинг объектов на десятках RTSP-камер, edge-инференс. Работаю с локальными LLM, RAG-пайплайнами и интеграцией AI в реальные продукты.

PhD student in Mathematics. Currently focused on research in Reinforcement Learning, exploring how RL agents can solve mathematical problems .

I am a student, i am aspiring research at ml and trying to bring useful things to science !

Currently developing computer vision solutions for guppy fish social behavior classification. Interested in World Models, Gaussian Splatting, Computer Vision. Majoring in Computer Science and Math. Absolute 1st place on Kazakhstan National AI Olymp 2025.