Summary
Anoop Jakka is a Staff Machine Learning Engineer with a decade of experience building computer vision and ML systems for resource-constrained robotics and scalable cloud services. He has led perception stacks and shipped production features on AMRs and mobile manipulators, delivering 6D object pose estimation and real-time detection pipelines that run on edge hardware like Nvidia Jetson. His work has enabled commercial deployments in high-profile 3PL warehouses and contributed to RaaS contracts by combining foundational models with 3D geometry and practical engineering rigor. At previous startups he architected cloud-native video summarization microservices on AWS, contributed to published AI patents, and built tooling and datasets to validate runtime and accuracy trade-offs. Known for technical leadership—code reviews, design docs, and planning—he routinely bridges research ideas to production constraints. Based in Greater Boston, he pairs a UC Riverside MS in Electrical Engineering with hands-on robotics experience to solve perception problems where latency, memory, and safety matter.
10 years of coding experience
8 years of employment as a software developer
Master's degree Electrical Engineering, Master's degree Electrical Engineering at University of California, Riverside