Geeta Chauhan
Leading Applied AI Meta
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolGeeta Chauhan is a seasoned engineering leader and Applied AI strategist at Meta, with 25+ years of experience building large-scale, resilient distributed platforms and leading teams of up to 200 engineers. At Meta she drives PyTorch adoption for production ML—spanning model optimizations, large foundation-model training at trillion-parameter scale, heterogeneous hardware support, and MLOps integrations—and co-created torchserve and llama-recipes. An ACM Distinguished Speaker and Women in IT CTO of the Year (2019), she blends deep technical authorship (papers at MLSys, VLDB, ASPLOS and contributions to high-profile repos like pytorch/serve and meta-llama/llama-cookbook) with strategic due diligence for investors and enterprise transformation. Passionate about Sustainable AI and climate action, she uniquely balances cutting-edge AI platform work with grassroots pursuits like backyard gardening.
10 years of coding experience
25 years of employment as a software developer
University of DelhiMaster of Computer Applications (MCA), Master of Computer Applications (MCA) at Savitribai Phule Pune UniversityLean LaunchPad for Life Sciences/Healthcare Enterpreneurship, Lean LaunchPad for Life Sciences/Healthcare Enterpreneurship at University of California, San Francisco
Stackoverflow
19reputation
840reached
0answers
6questions
Github Skills (30)
pytorch10
python10
back-end-development10
llama10
machine-learning10
inference10
java10
llm10
javas10
mlops10
fine-tuning10
serve10
docker8
multihead-attention8
rest-api8
Programming languages (10)
Github contributions (5)
meta-llama/llama-cookbook
Jul 2023 - Jan 2024
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
Role in this project:
ML Engineer
ML EngineerContributions:103 reviews, 47 PRs, 49 pushes in 6 months
Contributions summary:Geeta contributed to the inference capabilities within the Llama Cookbook. Their work involved updating inference scripts, specifically modifying the `inference.py` and `chat_completion.py` files. They added code to measure end-to-end inference time and added support for faster kernels with PyTorch SDPA. Additionally, the user made changes to fine-tuning utilities and implemented improvements for memory usage in FSDP LoRA configurations. They also fixed typos and spelling errors in the codebase.
aifinetuninglangchainllamallama2
pytorch/serve
Feb 2020 - Jan 2023
Serve, optimize and scale PyTorch models in production
Role in this project:Back-end Developer & MLOps Engineer
Back-end Developer & MLOps EngineerContributions:329 reviews, 75 commits, 24 PRs in 2 years 11 months
Contributions summary:Geeta's commits focused on enhancing the model archive functionality within the `pytorch/serve` repository. They addressed issues related to URL validation, including allowed and blocked URLs, as well as handling malformed URLs and relative paths. Furthermore, the commits demonstrate changes related to model loading and worker management, contributing to the production serving capabilities of the project. The user's work involved modifications to both Java (backend) and Python (potentially for model serving configurations).
cpupytorchpytorch-modelsservingin-production
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