Sridhar Arunachalam is a research engineer and NYU Courant MS candidate in Computer Science with eight years of experience building robot learning and deep learning systems. He has contributed to dexterous manipulation and visual imitation projects at NYU’s CILVR lab and brought those skills into industry roles at 1X and now Fauna Robotics. His background in electronics and communications engineering and a stint applying self-attention to PointNet-style point cloud models give him a strong blend of hardware-aware perception and cutting-edge representation learning. Based in New York, he focuses on making visual perception more generalizable for robots and has hands-on experience from dataset preprocessing through model design and evaluation. Notably, he pairs academic rigor—evidenced by a strong GPA and a CILVR paper—with practical deployment experience in robotics startups.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, 3.75/4.0, Master of Science - MS, Computer Science, 3.75/4.0 at New York University
Bachelor of Technology - BTech, Electronics and Communications Engineering, 8.37/10, Bachelor of Technology - BTech, Electronics and Communications Engineering, 8.37/10 at Vellore Institute of Technology
Contributions:12 pushes, 1 branch in 5 years 2 months
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Sridhar Arunachalam - Research Engineer at Fauna Robotics