Santosh Srinivas

Graduate Research Intern

India
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Summary

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Senior
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Top School
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.
code11 years of coding experience
job1 year of employment as a software developer
bookPostgraduate Degree, Artificial Intelligence, Postgraduate Degree, Artificial Intelligence at Plaksha University
bookBachelor of Technology, Chemical Engineering, Bachelor of Technology, Chemical Engineering at National Institute of Technology Tiruchirappalli
bookMaster'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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Github Skills (200)

jquery-plugin10
crud-application10
cms10
api-platform10
website-development10
python10
low-code10
xterm-js10
integrations10
security10
automation10
remix10
rest-api10
xterm10
javascript10

Programming languages (18)

C++CSSRustCDVueGoHTML

Github contributions (5)

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SantoshSrinivas79/kutt

Jan 2020 - Jun 2023

Free Modern URL Shortener.
Contributions:4 PRs, 5 pushes, 2 branches in 3 years 5 months
shortenertinyurlnodejsurl-shortenerbitly
Contributions:2 PRs, 4 pushes in 2 years 7 months
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