Kavya Srinet
Uber Tech Lead at Meta GenAI
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolKavya Srinet is a seasoned research and engineering leader with 11 years of experience building embodied, human-centered AI systems and production-ready multimodal models from San Francisco. Currently an Uber Tech Lead at Meta GenAI and Facebook AI Research, she bridges cutting-edge research and engineering to create assistants that proactively learn from human behavior, infer goals, and adapt through continual human-in-the-loop learning. Her background spans research engineering, management, and QA/testing contributions to notable open projects such as FacebookResearch/fairo, reflecting both deep technical rigor and attention to reliability. Trained at Carnegie Mellon in machine learning, she combines academic rigor with product-focused delivery, often working at the intersection of grounding, multimodal understanding, and generation. Notably, she has hands-on experience improving test accuracy and quality assurance in embodied agent platforms, underscoring a pragmatic focus on systems that work in the real world.
11 years of coding experience
4 years of employment as a software developer
Master's Degree Machine Learning, Master's Degree Machine Learning at Carnegie Mellon University
English, Hindi
Github Skills (4)
assertion10
unit-testing10
test-automation10
python10
Programming languages (5)
Github contributions (5)
facebookresearch/fairo
Jan 2021 - Jun 2022
A modular embodied agent architecture and platform for building embodied agents
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:405 reviews, 483 commits, 153 PRs in 1 year 5 months
Contributions summary:Kavya primarily contributed to the quality assurance of the project by adding assertions to the test suite. They added an assertion for checking accuracy. These changes include file modification with code snippets, thus ensuring the test suite effectively verifies the system's accuracy, making the project more reliable.
agentagentsembodied-agentmodulararchitecture
kavyasrinet/Paddle
Sep 2017 - Feb 2018
Contributions:156 pushes, 106 branches in 4 months
paralleldeep-learningmachine-learningdistributed-deep-learningdistributed
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