Computer Vision CTO / Product Manager. 6+ years of Production experience in Computer Vision, incl. Continuous Machine Learning for Hardcore enterprise customers.
I do a full-cycle production of Computer Vision solutions. Supporting You at any stage, from product inception to long-term maintenance. Founder experience in 3 companies.
Worked on: High-speed (120+ FPS) key-points detection in dark environments; Self-driving Cars; Visual Intelligence for Operations and Safety compliance monitoring; Custom autonomous Computer Vision Hardware; Machine Learning models Size optimization (pruning, etc); Speed optimization; Distributed CPU+GPU; Cost optimization for deployment in the cloud, EDGE, and on custom hardware; Augmented and Synthetic Data; Quality Assurance playbooks for Computer Vision systems; Edge cases evaluation and accuracy optimization; Computer Vision Framework.
Location: San Francisco Bay Area (current), Europe/UK (available). Remote: YES
Technologies: Python, C++, Computer Vision, GCP, AWS, ZMQ, Kafka, Docker, k8s, OpenCV, TensorFlow, PyTorch, ONNX, TensorRT, MLOps, Love, Machine Learning Pipelines, DVC, CML.
Computer Vision CTO / Product Manager. 6+ years of Production experience in Computer Vision, incl. Continuous Machine Learning for Hardcore enterprise customers.
I do a full-cycle production of Computer Vision solutions. Supporting You at any stage, from product inception to long-term maintenance. Founder experience in 3 companies.
Email: dima_cv1@protonmail.com (Please mention HN in the subject). Linkedin: https://www.linkedin.com/in/dim25
Worked on: High-speed (120+ FPS) key-points detection in dark environments; Self-driving Cars; Visual Intelligence for Operations and Safety compliance monitoring; Custom autonomous Computer Vision Hardware; Machine Learning models Size optimization (pruning, etc); Speed optimization; Distributed CPU+GPU; Cost optimization for deployment in the cloud, EDGE, and on custom hardware; Augmented and Synthetic Data; Quality Assurance playbooks for Computer Vision systems; Edge cases evaluation and accuracy optimization; Computer Vision Framework.