May 2017 – Dec 2024 · 7 yrs 7 mos · San Francisco Bay Area

• Led Network Growth AI org at LinkedIn that owned multiple products, People You May Know (PYMK), Next Best Edge, Graph ML and Follows.
• Directly responsible for ~50% of growth in LinkedIn’s 1B+ member network and 100B+ edges; owned ML systems that drove ~14% of the engagement on LinkedIn platform.
• Defined multi-year strategy for social graph ML and growth surfaces; balanced member value, trust/safety, and monetization tradeoffs across PYMK, notifications, retention and network expansion.
• Partnered with Product, Trust, DS, and Infra leadership to build and scale core ML platforms for recommender systems, multi-stage ranking, and multi-objective optimization across 4 LinkedIn products (Growth, Feed, Search, Ads).

May 2014 – May 2017 · 3 yrs · San Francisco Bay Area

• Established foundation in ML for enterprise products - deploying personalization systems where model quality is inseparable from client business outcomes.
• Designed & deployed a segment-based personalized search algorithm across ~80 enterprise retail clients delivering at least 5% revenue lift per client.
• Led a ground-up search infra re-architecture, that achieved 2x throughput increase and 20% latency reduction enabling BloomReach to onboard 2x the customer base on the same footprint.
• Drove a $110K annual infra cost reduction while scaling capacity, establishing a cost-efficiency discipline that directly supported BloomReach's enterprise margin profile.

Dec 2012 – Aug 2013 · 8 mos

• Equity Derivatives Trading and Quantitative Research.

May 2012 – Jul 2012 · 2 mos

• Developed a distributed logging service end-to-end, to forward logs from AppEngine applications to BigQuery.
• Optimized the billing cost using Local Caching of logs to local disk and Google DataStore.

May 2011 – Jul 2011 · 2 mos

• Distributed Systems