Geeticka Chauhan

Applied Research at Google DeepMind

San Francisco Bay Area United States
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Summary

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Senior
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Top School
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.
code11 years of coding experience
job10 years of employment as a software developer
bookDoctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at Massachusetts Institute of Technology
bookBachelor's degree Computer Science, Bachelor's degree Computer Science at Florida International University
bookDelhi Public School - R. K. Puram
languagesEnglish, Hindi, Punjabi
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Github Skills (44)

python10
gpu10
numpy9
machine-learning9
neural-network9
deep-learning9
biomedical8
gpu-acceleration8
tensorflow8
acceleration8
tensor8
bioinformatics7
levenshtein-distance7
nmslib7
string-matching7

Programming languages (3)

C++Jupyter NotebookPython

Github contributions (5)

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Contributions:203 commits, 1 push in 7 months
Contributions:13 pushes, 2 tags in 14 days
characterpythonidentificationclassification
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Geeticka Chauhan - Applied Research at Google DeepMind