Mazdak Fatahi is a research engineer with a decade of experience specializing in neuromorphic computing, spiking neural network modeling, and deploying models on hardware platforms like SpiNNaker and FPGA. Based at the University of Lille and concurrently working in industry on IoT and embedded systems at Sun of Dey Co., he blends academic research with practical product development in remote monitoring, tele-control, and smart building systems. His background includes teaching real-time and embedded programming and leading R&D on low-cost, data-driven BMS and smart home solutions, giving him a strong applied machine learning bent. Comfortable across microcontrollers, networks, and hardware accelerators, he focuses on turning sensor data into efficient, deployable intelligence for constrained devices. An underappreciated strength is his cross-border research experience—guest researcher roles and international projects—that accelerate collaboration between academic and industry partners.
10 years of coding experience
12 years of employment as a software developer
BS, Computer Engineering, BS, Computer Engineering at Daneshgahe Shahid Bahonar-e-Kerman
Master’s Degree, Computer Engineering, Master’s Degree, Computer Engineering at Razi University
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Mazdak Fatahi - Research Engineer at Sun of Dey Co. (SoDCo)