May 2020 – Jun 2022 · 2 yrs 1 mo · San Francisco Bay Area

• I grew the team from 5 engineers to 24 engineers, building teams from 0->1.
• Led 3 teams across 2 sites:
• Shopping Recommendations: Ranking, retrieval, and content understanding to power product recommendations on Home Feed and Related Pins surfaces. (400M+ users, 1B+ content corpus)
• Discovery Measurements: Human-in-the-Loop AI platforms to evaluate, train and inspect ML models
• Creator Growth: Help creators on Pinterest to have growth opportunities through easy onboarding and recommendations

Jun 2016 – May 2020 · 3 yrs 11 mos · San Francisco Bay Area

• Led the team to build big data platforms to improve Uber's data knowledge:
• Data discovery & search to help find and understand data entities like datasets, dashboards, business metrics, and ML features
• ML-powered personal data classification to generate various metadata for data discovery, quality, and privacy regulations, such as GDPR
• Automated data quality detection with statistical modeling

Jun 2014 – May 2016 · 1 yr 11 mos · Santa Barbara County, California, United States

• Graphiq was a semantic search startup backed by Kleiner Perkins and acquired by Amazon to power the intelligence of Alexa.
• Architected the distributed infrastructure and ML pipelines used to scale, enrich, and extract insights from Graphiq’s knowledge graph; the technology served as the foundational intelligence for Alexa following Graphiq's acquisition by Amazon.

Jan 2012 – Jan 2014 · 2 yrs · Greater Los Angeles Area

• Research in the areas of probabilistic modeling, design of networks and distributed systems.