Raghavendra Kotikalapudi

Raghavendra (Ragha) Kotikalapudi

I am an AI Researcher at Microsoft AI on the MSI team under Karen Simonyan.

Previously at Google DeepMind, I contributed to Gemini's post-training from 1.5 Pro through 3.0 Pro thinking models, including the superhuman coding effort that led to Gemini winning ICPC Gold. I was also the research lead for instruction tuning and safety on Bard and Gemini 1.5.

Media

  • Jun 2026 Gemini STOC Reviewer — Contributed to the Gemini Deep Think team that provided automated feedback for STOC 2026. Over 80% of submitted papers opted in, with 97% finding the feedback helpful.
  • Sep 2025 Gemini ICPC Gold — Key contributor to the Gemini 2.5 Deep Think team that achieved gold-medal level performance at the ICPC World Finals in Baku. Placed 2nd overall, solving 10/12 problems including Problem C which no human team could solve.
  • Oct 2017 Facebook Hackathon Winner — Won the Facebook Civic Hackathon with "Find 'n Park", a computer vision model to detect available parking spots in real-time using Seattle's open data.
  • Jun 2012 NYTimes Op-Ed — Co-authored "How Depressives Surf the Web" in the New York Times Sunday Review, discussing research linking internet usage patterns to depression in college students.

Selected Publications

Full list on Google Scholar →

Patents

Open Source

  • keras-vis ★ 3,000+ Neural network visualization toolkit for Keras. Activation maximization, saliency maps, Grad-CAM, and more.
  • keras-resnet ★ 1,400+ Residual Networks implementation using the Keras functional API.
  • keras-text ★ 422+ Text classification library for Keras with support for CNNs, RNNs, and attention models.

All repositories on GitHub →