Mohammad Murshid is an NPD Controls and IIoT software engineer with eight years of experience building robotics and autonomy systems for UAVs, humanoids, and mobile robots. He combines hands-on expertise in ROS ecosystems, sensor fusion, computer vision and deep learning with practical hardware skills in PCB design and control systems, having led vision-based precision-landing and swarm command-and-control projects. His background includes senior roles at SubUAS and Top Flight Technologies and published research on deep learning for medical imaging and human–robot interaction stemming from his M.S. in Electrical and Computer Engineering. Comfortable bridging research and product development, he has a track record of turning academic projects—like EMG-driven robot arm control and collaborative humanoid-drone experiments—into deployed capabilities. Based in Sugar Land, Texas, he now applies his robotics pedigree to industrial IIoT and controls development at SLB.
8 years of coding experience
4 years of employment as a software developer
Master’s Degree Master of Science in Electrical and Computer Engineering, Master’s Degree Master of Science in Electrical and Computer Engineering at University of Hartford
Bachelor’s Degree Electrical and Electronics Engineering, Bachelor’s Degree Electrical and Electronics Engineering at American International University-Bangladesh
Contributions:2 pushes, 1 branch in 2 years 2 months
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