Oct 2022 – Present · 3 yrs 7 mos

• In Google Deepmind, I am focused on creating completely new capabilities for humanity through disruptive AI research that accelerates technology development and reaches billions of users. We are working to make the next generation of AI even more revolutionary than this one!
• Until Brain and Deepmind merged to become Google Deepmind in May 2023, I led the Product Management function for the Brain team in Google Research, comprised of ~700 top AI researchers worldwide. Brain launched many of the breakthrough AI research discoveries powering the current AI revolution, including:
• Transformers
• TensorFlow
• TPUs
• JAX
• T5, the world's first large language model
• Seq2Seq models
• FLAN: Instruction Tuning, a key to modern LLMs
• During my tenure at Brain, I had the opportunity to lead PM for some of the most interesting generative AI launches of 2022 and 2023, such as:
• Imagen diffusion models
• Parti autoregressive text-to-image models
• Imagen-video, megapixel-scale text-to-video
• Phenaki, long-form generative text-to-video
• LaMDA
• AI Test Kitchen
• PaLM 1 & 2
• Bard

Nov 2021 – Oct 2022 · 11 mos

• Product Management leader for Google Brain, Google's world-leading AI Research lab. We undertake fundamental research and create technologies that are step-function changes in ML, science, human-computer interaction, and beyond.
• The research portfolio for Brain includes major Google-scale projects:
• Multipod Models, including MUM, which we announced at I/0 in 2020 (https://blog.google/products/search/introducing-mum/)
• LaMDA, our breakthrough conversational research (https://blog.google/technology/ai/lamda/)
• Research ML infrastructure, including JAX, Pathways, and more (e.g., https://blog.google/technology/ai/introducing-pathways-next-generation-ai-architecture)
• Magenta, Google's approach to marrying music and art with AI (https://magenta.tensorflow.org)
• We are hiring! Please reach out if you are interested in cutting-edge ML research PM roles.

Oct 2020 – Oct 2022 · 2 yrs

• I lead a team of PMs who build the Google ML ecosystem, including many industry-leading ML tools and services:
• TensorBoard -- http://tensorboard.dev
• TensorFlow Extended (TFX) -- http://tensorflow.org/tfx
• TensorFlow Enterprise -- http://cloud.google.com/tensorflow-enterprise
• TensorFlow Hub -- http://tfhub.dev
• TensorFlow Serving -- http://github.com/tensorflow/serving
• AutoML Research and Products
• TPU usability and scalability
• I'm also a very active PH Hiring Committee participant and frequent interviewer. If you're interested in Google PM -- feel free to reach out! I am more than happy to help.

Oct 2019 – Oct 2020 · 1 yr

• I lead the PM team for TensorFlow Extended (TFX), the production-scale Machine Learning platform for Google-scale applications. My team drives research, production, and infrastructure for Alphabet's biggest AI bets, from YouTube to Search, Waymo, Ads, and beyond.
• You can also try out TFX yourself -- we are Open Source! Learn more and run some examples at https://www.tensorflow.org/tfx

Jun 2014 – Oct 2019 · 5 yrs 4 mos

• Lead PM for Display Ads Quality at Google, working on optimization and automation products driven by some of the most complex Machine Learning systems in the world =).