Summary
Muhammet Yanik is a Senior Staff Systems Engineer and applied-research leader with 9+ years of PhD-level experience designing and deploying production-grade radar perception algorithms for resource-constrained SoCs and autonomy platforms. He has taken novel mmWave imaging, multi-target tracking, and edge-AI classifiers from Matlab prototypes to bit-exact C implementations on TI radar SoCs, shipping to thousands of devices and influencing SDK reference designs. A prolific researcher and inventor (12 IEEE papers, 3 US patents, 60K+ open-source downloads), he combines deep signal-processing theory with hands-on embedded engineering across CPUs, DSPs, and GPUs (CUDA), and strong real-time RTOS and ROS/ROS2 expertise. Muhammet has led cross-functional teams and a startup to build autonomous drones and now drives full-stack perception for next-generation automotive robotics at Boston Dynamics, routinely resolving HW–SW tradeoffs and system-level requirements. Not obvious from titles: he repeatedly delivers highly optimized algorithms that meet extreme memory and latency constraints (e.g., 97% classification at 40 ms on a 160 MHz M4F), making cutting-edge perception practical on low-power edge devices.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD), Electrical and Computer Engineering, Doctor of Philosophy (PhD), Electrical and Computer Engineering at The University of Texas at Dallas
Master of Science (MS), Electrical and Electronics Engineering, Master of Science (MS), Electrical and Electronics Engineering at Hacettepe University
English, Turkish