Google DeepMind

Research Engineer · San Francisco Bay Area

GenAI Reasoning Research Team — agentic coding research.

Meta

Research Engineer · San Francisco Bay Area

GenAI — Post Training. Reality Labs — Robotics.

Google DeepMind

Senior Staff Research Engineer · San Francisco Bay Area

Lead of the Gemini/LaMDA Research Tool Use Group. I developed the tool use technique used in the original Gemini launch, later standardized and launched across Alphabet on surfaces including Gemini, Google Search, and Google Cloud.

YouTube

Staff Software Engineer · San Francisco Bay Area

Tech lead and manager of YouTube’s Home Engagement Modeling team — a high velocity, high impact group applying advanced ML techniques at an enormous scale.

• Model scale. Led a multiyear effort to scale our models by a factor of 1,000 on a large fleet of 4th generation TPUs, producing unprecedented increases in daily active users and shifting strategic investment toward scaling models across the organization.
• Knowledge distillation. First team at YouTube to deploy large model distillation, now a key strategic initiative for improving training and serving economics.
• Training infrastructure. Led development of the training framework used by all of YouTube for models trained on user interaction logs — TensorFlow and JAX with first class TPU support. Over 30 distinct model types and thousands of models use it today.
• Modeling techniques. Applied attention based user modeling, AutoML, quantile regression, dense cross networks, uncertainty estimation, bias correction, and more.

Vevo

Senior Machine Learning Engineer · San Francisco

Led development of recommender models and systems.

Yola

Lead Software Engineer · San Francisco