Summary
Manoj Velmurugan is a software engineer with 11 years of experience focused on bringing autonomous perception and hardware-accelerated vision to edge robots. Currently at Applied Intuition after internships at Zipline and research/teaching at Worcester Polytechnic Institute, he blends hands-on embedded systems experience from MathWorks with advanced computer vision and robotics research. His background spans aerospace engineering from IIT Madras to an MS in Computer Vision & Robotics, giving him a rare cross-disciplinary perspective on perception, control, and constrained hardware. He excels at translating research prototypes into production-ready, low-latency vision pipelines for real-world robotic platforms. Known for working at the intersection of hardware acceleration and perception, he often tackles latency and resource constraints that are overlooked in cloud-centric ML work. Based in Worcester, MA, he brings practical embedded tooling experience alongside academic rigor to autonomous systems challenges.
11 years of coding experience
4 years of employment as a software developer
Indian Institute of Technology Madras
Master of Science Computer Vision Robotics, Master of Science Computer Vision Robotics at Worcester Polytechnic Institute
Tamil, English