Summary
Akul Santhosh is a Solutions Architect with eight years of experience, currently shaping robot learning, simulation, and world foundation model efforts on NVIDIA’s Robotics team in California. He combines hands-on research and product experience from a startup he co-founded—where he led a team to build AR-driven e-commerce solutions, patented an efficient low-power volumetric reconstruction algorithm, and trained segmentation models—with academic rigor from an MS in Computer Science at NYU. Comfortable bridging systems-level engineering and applied ML, Akul has practical expertise deploying compute-efficient algorithms on embedded platforms and scaling simulation workflows for robot learning. His background as a teaching assistant in computer systems and a computer vision intern at Niantic reflects a blend of pedagogy, vision research, and production engineering. Notably, he brings entrepreneurial instincts to large-scale research engineering, emphasizing efficient, resource-aware solutions.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, 3.88/4.0, Master of Science - MS, Computer Science, 3.88/4.0 at New York University
Bachelor of Technology, Computer Science and Engineering, 9.16/10, Bachelor of Technology, Computer Science and Engineering, 9.16/10 at Cochin University of Science and Technology
French, English