Mohammad Sheikhsarraf is a Data Scientist and computational engineer with 11 years of experience building and deploying machine learning and edge AI solutions for real-time applications. Currently at Fraunhofer EMFT, he combines deep learning expertise with hands-on microcontroller programming, circuit design and proficiency in Python, C and C++ to bridge models from research to embedded systems. His background spans industrial R&D and test engineering at organizations like Schaeffler and Raad Manufacturing, and research roles at the Max Planck Institute, reflecting a blend of practical product delivery and academic rigor. Bilingually fluent in English and German and holding MEng and MS degrees in computational engineering and bioelectronics, he is particularly adept at translating sensor- and hardware-driven problems into production-ready ML pipelines.
11 years of coding experience
7 years of employment as a software developer
Master of Engineering - MEng, Computational Engineering, 1.6, Master of Engineering - MEng, Computational Engineering, 1.6 at FAU Erlangen-Nürnberg
Master of Science - MS, Bioelectronics, Master of Science - MS, Bioelectronics at Iran University of Science and Technology
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Daneshgahe Esfahan
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Isfahan University of Technology
Contributions:12 pushes, 1 branch in 2 years 1 month
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