Summary
Amri Seifoddini is a Principal Applied Scientist based in Zurich with 12 years of software engineering experience and eight years focused on deep learning, computer vision and on-device graphics. He leads cross-organizational CV/ML initiatives at Zalando and previously built advanced virtual try-on systems and 3D avatar reconstruction pipelines at Fision Technologies using CUDA, physics-based simulation and deep learning. His background spans airborne LiDAR point-cloud classification, publication crawlers and applied image-based forecasting, reflecting a strong blend of research-grade algorithms and production engineering. Comfortable across C++, Python, OpenGL and ML frameworks, he designs systems that bridge real-time on-device constraints with high-fidelity visual simulation. Notably, he pairs academic training from ETH Zurich’s Visual Computing track with hands-on experience integrating Nvidia cloth/physics tech into consumer-facing virtual fitting rooms. He brings a pragmatic researcher’s mindset to product problems, optimizing complex graphics/vision stacks for scalable, deployable experiences.
12 years of coding experience
10 years of employment as a software developer
Diploma Math & Physics, Diploma Math & Physics at Shahid Sadooghi High School (sampad)
Master's degree Computer Science [Visual Computing Track], Master's degree Computer Science [Visual Computing Track] at ETH Zürich
Bachelor of Science (B.Sc.) Information Technology Engineering, Bachelor of Science (B.Sc.) Information Technology Engineering at Sharif University of Technology
English, German, Persian