ML Engineer — building deep learning models end-to-end, from research to production
Data Scientist with 7+ years of experience in Machine Learning, Deep Learning and Computer Vision.
Biometric Vision
Apr 2023 — PresentEnd-to-end deep learning research for a face-liveness and identity-verification product — anti-spoofing, face recognition, document OCR, and demographic attribute models. Stack: PyTorch, ONNX/TensorRT, FAISS, Docker, CUDA on RTX GPUs. Shipped multiple models to production, several reaching state-of-the-art on internal benchmarks.
ALEM Research
Dec 2021 — Jan 2023Built NLP systems over Russian/Kazakh text at scale — a clinically-validated mental-health screening bot and large-scale document clustering across hundreds of thousands of records. Stack: BERT, Word2Vec, FAISS, TF-IDF, Solr.
RELOG
Mar 2021 — Oct 2021Led a small team building Vehicle Routing Problem optimization for logistics planning. Stack: Java, RabbitMQ, clustering/heuristic algorithms. Delivered production routing with an integrated statistical traffic-jam map.
Nazarbayev University
2014 — 2018Designed and implemented Vehicle Routing Problem optimization algorithms for a food delivery application; built Kafka-based event pipeline; deployed to production.
Open projectBuilt a face recognition system for the “Safe City” Hackathon, Astana. Winner project.
International Mathematics Competition for Students. Bronze medal
Open link2016
ACM ICPC Semifinalist, Almaty (2016)
Open linkKazakhstan National Mathematical Olympiad - 2 Silver, 1 Bronze medals. (2012–2014). National team member
Open link