Summary
Amirreza Farnoosh is a Senior Applied Scientist based in Seattle with nine years of experience applying deep learning and computer vision to real-world systems, and over seven years focused on designing, training, and deploying models. He holds a PhD in Electrical Engineering from Northeastern University and has a publication record spanning NeurIPS, ECCV, AAAI and IJCV on dynamical generative models, time-series factorization, and video background estimation. His industry work includes building deployable vision systems for medical imaging and portable hardware at Hyperfine and Liminal Sciences, and leading applied computer vision efforts at Groundlight AI before joining Amazon. Amirreza combines rigorous probabilistic modeling with practical engineering—turning complex temporal and spatial research into production-ready inference on constrained devices. Colleagues describe him as research-driven yet product-minded, able to bridge novel model architectures and deployment constraints in high-stakes domains.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Electrical Engineering, Doctor of Philosophy - PhD Electrical Engineering at Northeastern University
Master’s Degree Electrical Engineering, Master’s Degree Electrical Engineering at University of Tehran
Bachelor’s Degree Electrical Electronics and Communications Engineering, Bachelor’s Degree Electrical Electronics and Communications Engineering at Isfahan University of Technology
English, Persian