Vladislav Ostankovich is a computer vision and deep learning engineer with nine years of experience building and deploying production-grade AI for robotics, autonomous vehicles, media, and marketing. A Kaggle Competitions Grandmaster, he combines research-grade model development (PyTorch, TensorFlow, ONNX, TensorRT) with hands-on engineering for inference and scaling (Nvidia Triton, Docker, AWS, FastAPI). His work spans video segmentation, detection & tracking, synthetic data generation, face/video swap and text-to-image pipelines, plus on-device optimization for Nvidia Jetson and CPU targets. He has shipped end-to-end systems—from data labeling automation and augmentation to serverless pipelines and avatar/chatbot applications—across startups and research labs. Based in Almaty, he blends academic rigor (MSc in Robotics & AI) with freelance product work generating personalized media content, often leveraging ControlNet/DreamBooth integrations and real-time inference stacks.
9 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Robotics and Artificial Intelligence, Master of Science - MS, Robotics and Artificial Intelligence at Innopolis University
Bachelor of Science - BS, Mechatronics, Robotics, and Automation Engineering, Bachelor of Science - BS, Mechatronics, Robotics, and Automation Engineering at Nazarbayev University
Contributions:7 commits, 5 pushes, 1 branch in 2 days
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Vladislav Ostankovich - Self Employed at Innopolis University