Doctoral Student at University of Colorado Boulder
Boulder, Colorado, United States
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Summary
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Shivendra Agrawal is a Ph.D. candidate in Robotics and Embodied AI at CU Boulder with 11 years of industry and research experience building applied ML and assistive-robotics solutions. He leads development of ShelfHelp, a context-aware smart-cane system that combines product localization and verbal manipulation guidance to help people with visual impairment retrieve items in grocery settings. His background spans data science, startup product engineering, and full-stack API work—from demand-forecasting apps and churn analysis at Noodle.ai to co-founding a human-powered translation platform and building optimization and NLP tooling in automotive at Bosch. Trained at IIT Kharagpur and CU Boulder (MS with a 4.0), he blends rigorous academic grounding with hands-on system design, often bridging research prototypes to usable products. Quietly, he pairs GUI and dashboard ergonomics with backend automation—demonstrating a knack for making complex models accessible to end users.
11 years of coding experience
3 years of employment as a software developer
Master's degree, Computer Science, 4.0, Master's degree, Computer Science, 4.0 at University of Colorado Boulder
Integrated Masters in Mathematics and Computing, Mathematics and Computer Science, Integrated Masters in Mathematics and Computing, Mathematics and Computer Science at Indian Institute of Technology, Kharagpur
Contributions:8 commits, 7 pushes, 1 branch in 20 days
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Shivendra Agrawal - Doctoral Student at University of Colorado Boulder