Gaurav Mishra
Member Of Technical Staff at Amazon AGI Lab
California, United States
Summary
🤩
Rockstar🎓
Top SchoolGaurav Mishra is an experienced ML engineer and research-focused software engineer with 10 years building sequence modeling and foundation-model infrastructure across Google and now Amazon’s AGI Lab, where he ships generative AI agents. At Google he contributed to high-impact projects like PaLM, Flan‑PaLM, Gemini and the BIG-bench benchmark, and his open-source work shows deep expertise in T5/T5X and seqio integrations for scalable data pipelines. He’s known for pragmatic refactors—improving dataset loading, preprocessing, and Python compatibility—plus adding unit tests that make research code production-ready. Based in California with an IIT Delhi engineering background, he blends research rigor with production systems experience spanning Search, Gmail, YouTube and Cloud NLP. A not‑obvious strength is his track record of moving experimental ML research into stable, maintainable code across both academic and industrial repositories.
10 years of coding experience
6 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)
Stackoverflow
572reputation
130kreached
11answers
8questions
Github Skills (23)
json10
data-pipelines10
back-end-development10
python10
machine-learning10
data-preprocessing10
trainings10
tensorflow10
ai10
nlp10
jax10
data-pipeline10
modeling10
data-science9
unit-testing9
Programming languages (5)
Github contributions (5)
google-research/t5x
Feb 2022 - Dec 2022
Role in this project:
ML Engineer
ML EngineerContributions:8 commits, 2 PRs in 10 months
Contributions summary:Gaurav primarily contributes to the T5X project, a framework for training and evaluating large language models. Their work involves modifying setup and configuration files, updating documentation related to finetuning, and refactoring utilities to support Python version compatibility and dataset iteration. They also address issues by rolling back changes and making minor adjustments, showcasing their involvement in maintaining the project's stability and usability.
google/BIG-bench
Mar 2021 - Mar 2022
Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models
Role in this project:Back-end Developer
Back-end DeveloperContributions:33 reviews, 121 commits, 49 PRs in 11 months
Contributions summary:Gaurav primarily contributed to the `bigbench/api/json_task.py` file, making changes related to data type consistency, dataset manipulation, and metric calculations. Their work involved modifying how tasks are loaded and processed, particularly within the context of the JSON task format. The user also updated the code to enable skipping scoring for generative targets.
bertmachine-learningbenchmarkmeasuringbenchmarks
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