Hossein Mamaghanian is a seasoned machine learning and systems engineer with eight years of experience leading R&D teams at Advanced Silicon and a PhD in image and signal processing from EPFL. He combines deep expertise in Python, PyTorch, TensorFlow and C++ with hands-on hardware and embedded systems experience from designing low-power wireless sensor nodes and FPGA/DSP-based DSP boards. As Department Manager and former ML Technical Lead, he translates research-grade algorithms into product-ready software for the electrical, electronic and medical industries. His background uniquely bridges ultra-low-power sensor hardware, real-time embedded software and modern deep learning, enabling end-to-end solutions from sensor design to deployed inference. Based in Lausanne, he pairs academic rigor with practical product delivery across multidisciplinary teams.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD), Electrical, Electronics and Communications Engineering, Doctor of Philosophy (PhD), Electrical, Electronics and Communications Engineering at Ecole polytechnique fédérale de Lausanne
Master of Science (MS), Electrical, Electronics and Communications Engineering, Master of Science (MS), Electrical, Electronics and Communications Engineering at Sharif University of Technology
pytorch like machine learning framework from scratch
Contributions:108 commits, 38 PRs, 89 pushes in 2 months
pytorchpythondeep-learningtorchmachine-learning
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Hossein Mamaghanian - Department Manager at Advanced Silicon