Santosh Srinivas is a Graduate Research Intern at NYU specializing in reinforcement learning and deep learning for robotics, with an 11-year engineering background spanning computer vision, data engineering, and full-stack development. He holds a Master’s in Computer Engineering from NYU (3.8 GPA) and a postgraduate degree in AI from Plaksha, blending rigorous academic training with hands-on system-building. At Mowito he improved vision inference pipelines and dataset curation for robotic perception, while prior roles saw him migrate data pipelines into Snowflake and build C# tooling and full-stack apps for automation. Comfortable moving between low-level model evaluation scripts and production-facing data/engineering tasks, he’s passionate about making intelligent robotic systems practically useful. Notably, his trajectory bridges classical robotics topics (kinematics, localization) with modern RL approaches, positioning him to translate research into deployable robot capabilities.
11 years of coding experience
1 year of employment as a software developer
Postgraduate Degree, Artificial Intelligence, Postgraduate Degree, Artificial Intelligence at Plaksha University
Bachelor of Technology, Chemical Engineering, Bachelor of Technology, Chemical Engineering at National Institute of Technology Tiruchirappalli
Master's degree, Computer Engineering, 3.8/4.0, Master's degree, Computer Engineering, 3.8/4.0 at New York University
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