Rithwik Kukunuri is a machine learning engineer with nine years of experience building and shipping production ML systems across energy, retail, and IoT domains. He earned his BTech in Computer Science from IIT Gandhinagar and has published three ML papers born from research projects with Prof. Nipun Batra. At Jio he deployed deep learning models for appliance-level energy disaggregation and solar forecasting (sub-10% and sub-8% MAPE respectively) and built end-to-end MLOps pipelines for monitoring, inferencing, and retraining. More recently he drove learning-to-rank and relevancy work at Nykaa and now works at Coinbase, blending strong mathematical foundations in ML/DL with product-oriented engineering. He has a track record of turning research insights into robust production services and a knack for proposing novel, deployable data-science use cases.
9 years of coding experience
4 years of employment as a software developer
MTech in Data Science and Engineering, MTech in Data Science and Engineering at BITS Pilani Work Integrated Learning Programmes
BITS Pilani, Birla Institute of Technology and Science
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Indian Institute of Technology Gandhinagar (IITGN)
Contributions:4 commits, 1 PR, 3 pushes in 3 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.