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Product at Databricks
I am a Senior Staff Product Manager at Databricks. Previously, I was a Principal Product Manager at AWS, where I led product for SageMaker Model Training, a fully managed service that enables training large scale AI models. Before that, I was a Product Manager at Google AI / Brain, where I was the product lead for TensorBoard, the popular machine learning experiment analysis tool. I co-created TensorBoard.dev, a platform that enables better reproducibility and collaboration in ML research. I also led the development and growth of an experiment management tool that was used by more than 1000 Google researchers and engineers. Before that, I was at Microsoft building ML developer tools and helping productize research prototypes in personalization/recommendations. I studied Computer Science at Princeton University with particular focus on theoretical computer science and game theory.
Princeton University
A.B., Computer Science
January 1, 2009 – January 1, 2013
United World College of South East Asia
International Baccalaureate
January 1, 2004 – January 1, 2009
Databricks
Senior Staff Product Manager
January 1, 2025 – Present
San Francisco, California, United States
Amazon Web Services (AWS)
Principal Product Manager, SageMaker
September 1, 2023 – December 1, 2024
San Francisco Bay Area
Amazon Web Services (AWS)
Senior Product Manager, SageMaker
March 1, 2021 – September 1, 2023
San Francisco Bay Area
Product Manager, TensorFlow at Google AI / Brain
December 1, 2018 – February 1, 2021
Mountain View, CA
Microsoft
Senior Program Manager - AI Platform
February 1, 2018 – December 1, 2018
Microsoft
Program Manager - Cloud AI (Azure)
December 1, 2015 – February 1, 2018
Microsoft
Program Manager - Windows 10 Store
August 1, 2013 – December 1, 2015
Microsoft
Program Manager Intern
June 1, 2012 – August 1, 2012
Redmond, WA, USA
Infosys
InStep Intern
June 1, 2011 – August 1, 2011
Bangalore, India
Igloo Chat
March 1, 2020 – June 1, 2020
Developed a virtual space for individuals to hang out during the pandemic, similar to Gather Town. Users would move around the map and as they approach others, they would seamlessly have a video call (with everyone within their virtual vicinity). Built with React and WebRTC. Celebrated a few birthday parties, but decided not to pursue full time.
Kaggle - Machine Learning and Data Science competitions
January 1, 2016 – January 1, 2017
Kaggle competitor at tier "Competitions Expert". Top 3% in the Quora Question Pairs Competition Top 4% in the Two Sigma Financial Modeling Challenge. Top 5% in the Avito Duplicate Ads Detection Competition.
Ripple
October 1, 2014 – June 1, 2015
A project to simplify content sharing. Instead of relying on friend and follower systems, a "ripple" is sent to several people nearby who choose whether to spread it further. Content travels as far as it is engaging and lets you track it's path across the world
Snipe - a game of assassins
June 1, 2014 – August 1, 2014
"Assassins" is a popular live action game played with water pistols. We digitized the game to make it easier to play.
Kefi
December 1, 2013 – May 1, 2014
Yelp crowdsources venue reviews, but does not consider that the best-rated club doesn't have a great DJ tonight. Kefi makes it fun to review places and prioritizes recent reviews so people can quickly find venue that matches their mood and expectations.
Cultural Fit Analysis
The candidate has a strong background in large tech companies (Microsoft, Google, AWS, Databricks) and has worked on diverse projects, including personal ventures and Kaggle competitions. This demonstrates adaptability and a proactive learning attitude. The target role is 'Data Analyst', which is a shift from their extensive Product Management career. While their Kaggle experience and work with ML platforms show strong analytical capabilities, the direct cultural fit for a pure Data Analyst role, which often involves deep dives into data, reporting, and dashboarding, needs further validation. Their experience is more aligned with leveraging data for product decisions and strategy rather than core data analysis tasks.
Soft Skills & Operational Fit
The candidate's resume highlights leadership in product management, collaboration with research teams, and driving experimentation processes, suggesting strong communication, strategic thinking, and operational execution skills. The project descriptions, while brief, indicate initiative and problem-solving. However, direct evidence of soft skills for a Data Analyst role (e.g., presenting complex data insights, stakeholder management specific to data analysis) is inferred rather than explicitly stated.