Youssef Farag is a data scientist and ML engineer based in Munich with nine years of experience bridging research-grade computer vision and production ML systems. He has published state-of-the-art work in photorealistic urban-scene generation and applied those deep learning skills to battery state estimation and time-series pipelines in industry. Comfortable across Python, NodeJS, and microservice architectures, he has shipped data acquisition and preprocessing pipelines that enabled scalable model development at startups and research labs. Youssef pairs academic rigor from TUM and Stuttgart with hands-on product delivery, having moved from full-stack and API development roles into applied ML productionization. A detail that sets him apart: he combines generative vision research with practical expertise in battery analytics—showing an unusual cross-domain fluency that speeds prototype-to-production transitions.
9 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Computer Science, A, Bachelor's degree, Computer Science, A at The German University in Cairo
Master's degree, Informatics, Master's degree, Informatics at Technical University Munich
Contributions:2 PRs, 16 pushes, 11 branches in 1 year 1 month
pytorchcvpr
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