Pooya Kazaj is a self-taught Deep Learning and MLOps engineer with six years of experience building production-grade AI systems, currently focused on generative video models and research work in Bern. He has shipped end-to-end video generation pipelines and microservice architectures with GPU/CPU cloud engines at Zebracat AI, and brings hands-on MLOps and deployment expertise from medical and industrial AI projects. Pooya is an active open-source maintainer—leading a Persian NLP library—and shares practical deep learning and machine vision tutorials on YouTube, reflecting a strong commitment to community education. His background in geodesy and remote sensing gives him a data-centric perspective on spatial problems, and he combines academic rigor with practical engineering to move research into scalable products.
6 years of coding experience
4 years of employment as a software developer
Master of Engineering - MEng, GIS, 18.39, Master of Engineering - MEng, GIS, 18.39 at K. N. Toosi University of Technology
High School Diploma, Mathematics, 19.68, High School Diploma, Mathematics, 19.68 at National Organization for Development of Exceptional Talents (Sampad)
Contributions:7 commits, 92 pushes, 1 branch in 1 month
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