Jan 2024 – Present · 2 yrs 4 mos

• Working with Professor Shikhar Ghosh to explore how we can leverage disruptive technologies like AI, Blockchain and Synthetic Biology to make a positive impact on the world!

May 2022 – Oct 2024 · 2 yrs 5 mos · United States

• Leading the development of Lab45 AI Platform

Jan 2020 – May 2022 · 2 yrs 4 mos

• Mentoring various startups as part of the Google's SDG Advisor program that aims to support the startups addressing the 17 UN SDGS.
• Mentored at 10 different startup accelerators including US Black Founders, US & Canada Women Founders, UK Underrepresented Leaders and Sustainable Development Goals Pilot, APAC Women Founders, and Google Voice AI Accelerator. Previously, Google Advisor in Residence for early stage startups in India.
• Diversity, Equity and Inclusion champion. Co-created and facilitated “Actionable Ideas for DEI” workshop at 10 different Startup and internal forums.
• Google for Startups aims at leveling the playing field for startups across the world.

Oct 2016 – May 2022 · 5 yrs 7 mos

• Leading Cloud TPU Infra across multiple teams in the areas of scheduling, resource management, systems, reliability and diagnostics, with the mission to democratize deep learning by making exa-scale compute accessible for everyone.
• Previously, led various initiatives to scale GCE including Regionalization and Disaster Recovery and helped build the universal shopping API in search.

Jun 2012 – Oct 2016 · 4 yrs 4 mos · Greater Seattle Area

• Helped the Microsoft Universal Store embrace Azure:
• 1. Led the development of a highly scalable and available SQL management service hosting 100TB+ data across multiple data centers.
• 2. Led the optimization of cloud usage to drive 30MM per year in savings for Microsoft.
• 3. Led the development of a realtime intrusion detection system to secure 500,000+ host servers.
• Received great feedback from top executives, including the CEO Sayta Nadella.

Sep 2011 – May 2012 · 8 mos · Las Gatos

• Led the design and implementation of multiple features on the Netflix Top 10 Recommendations team:
• Recommendation improvements using instant ratings, celebrity ratings, predicted moods
• Algorithms for an Interactive gaming platform – MAX for Netflix
• Recommending Pilot TV Shows that are very popular but the user might have overlooked
• Episode specific recommendations for non-serialized content
• Separating TV, Movie and Kids Top N recommendations
• Post-play recommendations
• Character based recommendations

Oct 2006 – Aug 2011 · 4 yrs 10 mos

• Led various v1 efforts on Bing Ads:
• 1. Designed and implemented Click Fraud Detection and SmartPricing system for Bing Ads.
• 2. Built the Relevance Ranking System for Bing PaidSearch and Contextual Ads.
• 3. Rearchitected the Bing Ad Delivery Infrastructure for cloud to reduce the cost to serve by 10x while improving latency and performance characteristics.
• 4. Founding contributor to the NoSQL object store used by hundreds of services across Microsoft.

Oct 2004 – Jul 2006 · 1 yr 9 mos · Gurgaon, India

• Helped bootstrap the development office of Auptyma Corporation in India:
• 1. Led the design and implementation of an ultra-low overhead JVM Profiler based on reverse engineering of JVMs across Linux, AIX, Solaris and Windows.
• 2. Mentored the team on Reverse Engineering, Assembly code reading, IDA Pro, JVM Garbage Collection, JVM Internals, Core Java, Unix Shell Scripting and Regular Expressions.
• Auptyma was acquired by Oracle in 2007.

May 2002 – Oct 2004 · 2 yrs 5 mos · New Delhi, Delhi, India

• Had lots of fun working at a high energy startup for my first job. Implemented a Focused Web Crawler.