Pranav Shyam
Research Scientist at Google DeepMind
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolPranav Shyam is a research scientist in San Francisco with 11 years of experience building and researching large-scale generative models and reinforcement learning systems. After contributing to GPT-3, GLIDE, and infrastructure work at OpenAI, he now works on Project Gemini at Google DeepMind, blending applied model development with foundational research. His background includes model-based and off-policy RL for robotics at NNAISENSE and memory-augmented/few-shot learning research at IISc, giving him a strong cross-disciplinary toolkit spanning LLMs, diffusion models, and control. Notably, he has moved between academic and product-focused teams, repeatedly shipping dataset, infrastructure, and algorithmic improvements that bridge research prototypes and production systems.
11 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Computer Science, With Distinction, Bachelor's degree, Computer Science, With Distinction at R. V. College of Engineering, Bangalore
English, Kannada
Github Skills (90)
python10
deep-learning10
speech10
gpu10
neural-network10
jax10
data-science10
tensorflow10
pytorch10
machine-learning10
numpy9
paper9
multiclass-classification9
job-queue9
visual-question-answering9
Programming languages (3)
Github contributions (5)
pranv/ARC
Nov 2016 - Mar 2017
Contributions:182 commits, 30 pushes, 5 comments in 3 months
pranv/spatial_memory
Oct 2015 - Oct 2015
Contributions:44 commits, 1 push, 2 branches in 7 days
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