Vladislav Ostankovich
Almaty, Kazakhstan
Summary
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SeniorVladislav 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.
10 years of coding experience
Github Skills (23)
python9
anaconda9
apollo9
autonomous-driving9
satellite8
deep-learning8
autonomous-vehicles8
self-driving-car8
tensorflow8
machine-learning8
qt7
data-science7
pytorch7
language-server-protocol7
ide7
Programming languages (3)
Github contributions (5)
rdavarymajd/Dataset-for-illegal-buildings-detection-from-satellite
Sep 2018 - Sep 2018
Dataset for illegal buildings detection from satellite
Contributions:7 commits in 1 day
buildingssatellitedatasetillegal
vladostan/trafficSignsDetector
Apr 2018 - Apr 2018
Contributions:7 commits, 5 pushes, 1 branch in 2 days
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