Summary
Ostap Salo is a Computer Vision and MLOps Engineer with 7 years of experience building and deploying deep learning solutions across mobile, web, and enterprise contexts. He has hands-on expertise in Python, C++, TensorFlow, PyTorch and OpenCV, and has delivered projects from synthetic dataset generation with GANs to on-device inference pipelines. At firms from startups to Abto Software he has moved models from research into production using Docker, Airflow and MLOps practices, with particular strengths in object detection, segmentation, super-resolution and style transfer. He also has practical experience tackling content-moderation problems and optimizing models to run efficiently on mobile hardware. Trained at Ivan Franko National University of Lviv, Ostap combines strong mathematical foundations with a pragmatic engineering approach to reduce model latency and operational friction. Colleagues describe him as the kind of engineer who turns experimental prototypes into maintainable, production-grade systems.
7 years of coding experience
3 years of employment as a software developer
2, COMPUTER AND INFORMATION SCIENCES AND SUPPORT SERVICES, 2, COMPUTER AND INFORMATION SCIENCES AND SUPPORT SERVICES at Ivan Franko National University of Lviv