Oct 2021 – Sep 2023 · 1 yr 11 mos · San Francisco Bay Area

• Leading the User Retention Engineering org in Growth. We build channels and platforms that help acquire and retain users on Pinterest. My teams own the following:
• product, ML and infra for email & push notifications
• platform to support notifications built across the company
• framework to quickly build in-app experiences to drive retention
• engineering for Paid Marketing
• localization and internationalization
• We are a multidisciplinary team with fullstack+mobile, backend and machine learning engineers.
• We are hiring for several open roles in all these areas. Looking for motivated engineering managers, product managers and engineers at all levels. Please reach out if you are interested.

May 2017 – Dec 2020 · 3 yrs 7 mos · San Francisco Bay Area

• Engineering lead in the founding team that launched Portal, Facebook's video calling device. Helped build Smart Camera, leveraging and advancing state of the art in person detection, human pose modeling, automatic framing, face verification and inclusive AI.
• https://ai.facebook.com/blog/smart-camera-portal-advances/

May 2012 – May 2017 · 5 yrs · San Francisco Bay Area

• Core lead in the Ads team, led several impactful initiatives and teams over the years. Highlights:
• Founded the Dynamic Ads ML team, helping build the business from scratch to a billion dollar-plus runrate. Drastically improved retargeting and prospecting performance for advertisers. Built state of the art ML and infra to enable large scale product recommendations in realtime.
• Previously, led conversion optimization advancing ML modeling and conversion product offerings.
• Led initiatives to leverage offsite activity.
• Launched several fundamental advances in core ads retrieval and ranking.
• Revamped ML and infra for page recommendations (pages you may like), and built the PYML team.

Jun 2006 – May 2012 · 5 yrs 11 mos · San Francisco Bay Area

• Led and managed a team of talented applied scientists and research engineers. Launched content optimization platform which powered personalized recommendations on the Yahoo home page, Yahoo news page, My Yahoo and a few other Y! portals. Drastically improved user engagement through several fundamental advances over the years.
• Media coverage of the project:
• http://www.fastcompany.com/1770673/brains-and-bots-deep-inside-yahoos-core-grab-billion-clicks
• http://www.theregister.co.uk/2011/09/23/yahoo_core_personalization/

Jun 2005 – Aug 2005 · 2 mos · Seattle

• Summer internship with MSN Search

Jan 2004 – Jan 2006 · 2 yrs · Madison, Wisconsin, United States

• Worked on data mining, NLP and systems projects.

Jan 2004 – Jun 2004 · 5 mos

• Interned with the Yahoo! HotJobs team in Bangalore. Founded workstream on extracting structured data from resumes using unsupervised learning and supervised learning with semi-automated training labels.

Jan 2004 – Mar 2004 · 2 mos

• Worked on predictive texting models for Indian languages.

May 2002 – Jul 2002 · 2 mos