Summary
Mohsen Zandi is a Senior Computer Vision Engineer based in Stockholm with nine years of industrial experience turning research-grade deep learning ideas into production-ready 2D/3D vision systems. He has led and built teams at IVISYS and now contributes at Qualcomm, specializing in practical solutions for inspection, calibration, measurement and 3D reconstruction using PyTorch, OpenCV and C++/Python stacks. Comfortable across the full ML lifecycle, he pairs data management and model-behavior debugging with hands-on deployment experience to reliably ship features. His background includes academic research projects in deep text, activity detection and video classification, which inform a pragmatic approach to novel vision challenges. Notably, he blends embedded-systems experience and firmware-aware thinking into vision products, helping bridge low-level constraints and modern ML pipelines.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering - BE Computer Engineering, Bachelor of Engineering - BE Computer Engineering at Kharazmi University
Master of Engineering - MEng Artificial Intelligence, Master of Engineering - MEng Artificial Intelligence at Shahid Beheshti University
Persian, English