Vinay Bettadapura
Senior Staff Software Engineer at Google DeepMind
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolVinay Bettadapura is a Senior Staff Software Engineer in San Francisco with nine years of experience at Google and DeepMind, specializing in computer vision, machine learning, and ubiquitous computing. He leads platforms and infrastructure to productionize multimodal LLMs and GenAI (including work aligned with Gemini) and to enable large-scale, human-centric video understanding across products like YouTube, Photos, and Cloud APIs. Vinay combines deep research roots—a PhD from Georgia Tech and prior academic work on activity recognition—with hands-on systems engineering, shipping production ML services at scale. An active contributor to high-profile open benchmarks, he has implemented experimental tooling in Google’s BIG-bench to probe self-awareness of language models, reflecting a practical interest in model evaluation and experimental design. Known for bridging research and product, he excels at turning advanced models into robust, business-critical systems.
9 years of coding experience
17 years of employment as a software developer
BE Electronics and Communications, BE Electronics and Communications at Visvesvaraya Technological UniversityPhD Computer Science, PhD Computer Science at Georgia Institute of TechnologyMS Computer Science, MS Computer Science at Columbia Engineering
Github Skills (5)
machine-learning10
nlp10
python10
experimental-design9
data-manipulation9
Programming languages (4)
Github contributions (5)
google/BIG-bench
Jun 2021 - Aug 2022
Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models
Role in this project:
ML Engineer
ML EngineerContributions:25 reviews, 190 commits, 96 PRs in 1 year 2 months
Contributions summary:Vinay's commits primarily involve modifications to the `bigbench/benchmark_tasks/self_awareness/task.py` file within the `google/big-bench` repository. These changes include incorporating code from other tasks, defining functions to generate and evaluate answers related to self-awareness, and preparing data for evaluation. The user also implemented functions to shuffle lists and create random subsamples, indicating a focus on data manipulation and experimental design for measuring the self-awareness of language models. These commits demonstrate a clear focus on developing and testing the self-awareness capabilities of language models within the BIG-bench framework.
bertmachine-learningbenchmarkmeasuringbenchmarks
ramasesh/rnn_dynamics
Jul 2020 - Sep 2022
Experiment code for studying rnn dynamics
Contributions:62 commits, 1 PR, 45 pushes in 2 years 2 months
for-studyingphysicsrnnstudyingsimulation
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