About Me

ML Lead @ Google who loves all things technology. I've studied at Monash University, Melbourne University and Stanford in range of areas spanning from Computer Science, Law and Finance. I live in the USA.

At Google, I’ve worked in Ads, Shopping and ML. I currently lead much of Googles core Production ML Infrastructure. I founded our on-device machine learning infrastructure, danced in front of 20K people @ I/O and scaled it to multi-billion devices, built and scaled out our compiler infrastructure through multi-level intermediate representation with Chris Lattner and helped scale and build the broader ML team and product portfolio touching thousands of engineers, hundreds of products and billions of users.

I have spent 5+ years driving Google ML APIs (TensorFlow/JAX), Compilers (XLA & MLIR), Runtime infrastructure for Server (CPU/GPU/TPU) and on-device (Mobile/Micro/Web) & driven our open sourcing efforts. I   lead our large model ML production infrastructure, helped scale Android ML and many other special projects.

I'm an entrepreneur at heart and have extensive experience in leading dynamic teams towards rapid growth and scaling disruptive ideas. I'm responsible for helping scale products that affect billions of people and impact the world through positive uses of ML.

I teach product management to new and experienced PMs at Google, and through a series of online courses at Infinite Series. If you are interested in mastering Product Management you should definitely sign up free.

I've raised from top Bay Area angels and venture capitalists for my previous startup, rapidly grown a startup to more than a $10M GMV run-rate to a team acquisition by Google.

I believe in servant leadership - you are a function of your team. I believe success is always remembering to be the user and use your product - user empathy is key. No matter what - always remember to understand users problems, be a great storyteller and create & foster a phenomenal team.

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