Summary
Artem Kurylev is a Data Scientist and Machine Learning Engineer with 4.5 years focused on computer vision and broader 8 years of professional experience building production-ready ML systems. He has deep hands-on expertise in Python, PyTorch, OpenCV and MMCV, delivering solutions for object detection, classification, image generation and virtual try-on pipelines. Artem has designed and operated ML infrastructure—Kubernetes clusters, ClearML, Airflow pipelines, Minio S3 and model registries—to streamline experimentation and deployment at scale. His work spans both research-quality model development and pragmatic productionization (TorchScript/ONNX), including geospatial Postgres+PostGIS designs and real-time video processing optimizations. A competitive programmer (ACM ICPC) with an MS in Data Science, he brings algorithmic rigor and efficiency-minded engineering to complex vision problems. Based in Tbilisi, he combines academic depth with a proven track record of shipping robust, automated pipelines for continuous model improvement.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Data Science, 4.75, Master of Science - MS, Data Science, 4.75 at Innopolis University
Bachelor of Science - BS, Software Engineering, Bachelor of Science - BS, Software Engineering at Volgograd State Technical University
English, Russian