Evgeniy Mamchenko is Head of Data Science based in Berlin with 11+ years of engineering experience blending deep learning research and classical software engineering to deliver production-grade computer vision systems. He has led automation of visual quality control at deevio and previously built privacy-preserving anonymization pipelines at Brighter AI, owning everything from data collection and annotation strategies to model deployment, monitoring and CI/CD. A strong believer in a data-centric approach, he emphasizes annotation quality, dataset/version management and reproducible pipelines as the real levers of applied ML success. Comfortable across Python, PyTorch/TensorFlow, OpenCV and containerized microservices, he pairs hands-on model design with robust engineering practices honed over a decade of full-stack and DevOps roles. Outside work he builds practical tooling like Pocket AutoML, an on-device Android app that lets users train image classifiers in seconds and export TensorFlow Lite models.
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