Geeticka Chauhan is an applied researcher at Google DeepMind with 11 years of experience advancing LLMs, reinforcement learning, and reasoning. Trained at MIT CSAIL (PhD/MS) and with a CS bachelor's from Florida International University, she brings deep academic rigor to applied problems like clinical ML, multimodal AI, and differential privacy. Her work spans research internships at Google and Bosch and a long MIT stint in the Clinical Decision Making Group, where she combined NLP and multimodal methods for healthcare while exploring privacy-preserving training. She has practical experience translating object-detection ideas to document AI and scaling differentially private training for large speech models. Based in the Bay Area, she blends theoretical foundations with hands-on systems work and a track record of tackling safety- and privacy-sensitive ML applications. An appetite for cross-disciplinary problems—medical, document, and speech AI—distinguishes her profile beyond conventional LLM research.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at Massachusetts Institute of Technology
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Florida International University
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.
Request Free Trial
Geeticka Chauhan - Applied Research at Google DeepMind