Sandeep Menon is a software engineer specializing in deep learning and computer vision with 11 years of experience building scalable, production-ready systems for autonomous driving and cloud platforms. Currently at Kodiak in Mountain View, he develops onboard and offboard vision capabilities and previously engineered a low-latency inference engine with custom CUDA kernels to run 3D sparse convolutions under 40ms. His work spans sensor fusion, 3D semantic segmentation, targetless calibration, and cost-saving GPU orchestration on Azure, demonstrating both research rigor and operational impact. An MS CS from NYU with roots at NITK, he blends core software engineering discipline from Microsoft cloud services with hands-on robotics perception, and has a particular interest in data synthesis via adversarial networks and computational geometry. Notably, he has driven annotation-speed improvements and tangible infrastructure savings while shipping models that meaningfully improve on-road scene understanding.
11 years of coding experience
4 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at New York University
Nanodegree Computer Vision, Nanodegree Computer Vision at Udacity
Kendriya Vidyalaya Sangathan
Bachelor of Technology (BTech) Computer Science, Bachelor of Technology (BTech) Computer Science at National Institute of Technology Karnataka
Contributions:2 releases, 28 reviews, 2 PRs in 10 months
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Sandeep Menon - Software Engineer, Deep Learning at Kodiak