Muhammad Hamza is a Senior Embedded Software Engineer at Sioux Technologies since March 2023, showcasing extensive experience in embedded systems from previous roles as an Embedded System Engineer at mbeder GmbH and various software engineering positions in organizations such as mapAds and Techlogix. Key achievements include implementation of Time Triggered Network On Chip (NOC) on Xilinx FPGA and development of software architectures utilizing Deep Reinforcement Learning for robotic arms at Fraunhofer Institute. Educational credentials include a Master's degree in Informatik from Universität Siegen and an Engineer’s degree in Computer Engineering from Ghulam Ishaq Khan Institute of Engineering Sciences and Technology. Proficiencies encompass C, C++, VHDL, and System Verilog, complemented by familiarity with tools such as Xilinx Vivado, AWS, and Python.
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