Oleksandr S.
Computer Vision Engineer
About
Alexander specializes in the development and deployment of high-load Artificial Intelligence systems, with a particular focus on Computer Vision and MLOps infrastructure. His expertise spans the entire product lifecycle: from processing terabytes of raw data and field-calibrating sensors to deploying scalable microservices in Kubernetes. He excels at transforming complex technological challenges - whether defending against synthetic deepfakes or automating industrial agriculture - into stable, production-ready solutions. With a deep background in Computer Vision, Alexander has successfully developed systems for robotic yield estimation using 3D cameras, SLAM, and satellite imagery analysis. Rather than simply training models, he builds a robust MLOps foundation around them - leveraging automated pipelines in Airflow and ClearML to inference optimization via ONNX. This approach ensures high predictive accuracy and metric transparency throughout every stage of the system’s operation.
Key Expertise
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Computer Vision Engineer
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