Distinguished Fellow & General Partner @ Fellows Fund (https://fellows.fund)We invest in early-stage AI startups.

Led the Google Assistant Engineering organization, which consisted of a talented team of thousands of engineers, researchers, and technical program managers. Our primary responsibility was to develop Google's Digital Assistant product, known as Google Assistant. This included developing the foundational technologies such as Natural Language Processing (NLP, LLMs) and Speech (Automatic Speech Recognition and Speech Synthesis) which powers not only Google Assistant but also other Google Services like Voice Search, Cloud, YouTube, Maps, and more. Google Assistant serves as a natural conversational AI helper, enabling users to effortlessly accomplish tasks through Android and iOS phones, wearables (such as watches and earbuds), smart speakers, smart displays, TVs, and cars. Its reach spans across 38 languages, attracting ~750 million monthly active users.

I led a global team of engineers, scientists, product & program managers, and marketplace operators and analysts, responsible for building advertising platforms, technologies and products, and running multi-billion-dollar advertising marketplace that serves both search ads and native ads on search & content publishers including Bing, Verizon Media (Yahoo!, AOL), Microsoft News, Outlook, and 10K+ Distribution and Syndication Partners in the US and 36 INTL markets. I help define growth strategies, technical directions, product roadmaps, and operating cadence. We have achieved double-digit year-over-year growth in revenue per search as well as in total revenue since 2012, and double-digit year-over-year growth in profit since 2015. I oversee R&D of Advertising technologies, products, algorithms, large scale distributed serving systems, publisher & advertiser platforms and tools, and Sales tools that power Microsoft Advertising ecosystem. We heavily use the recent advances in cloud computing infrastructure and AI technologies to harness massive volume of data for solving a variety of problems in Ad Tech and Ecosystem. We love big data!We are hiring!

I led a global team of engineers, scientists, product & program managers, and marketplace operators and analysts, responsible for building technologies and products, and running multi-billion-dollar advertising marketplace that powers Bing, Yahoo!, AOL, and Syndication Partners. I help define growth strategies, technical directions, product roadmaps, and operating cadence. We have achieved double-digit year-over-year growth in revenue per search as well as in total revenue in the past 5 years. I oversee R&D of Advertising technologies, products, algorithms, and large scale distributed serving systems that power Bing Advertising marketplace. Some challenging and interesting technical problems include,• User/query intent understanding, document/ad understanding, semantic representation using deep learning• Relevance modeling, IR-based ad retrieval, semantic-vector-space retrieval• User response (click & conversion) prediction using large scale machine learning algorithms• Marketplace mechanism design and optimization, and whole-page experience optimization• Personalization, audience understanding and targeting• Innovative new ads products, e.g., product ads, hotel ads, native ads• Network protection, fraud detection, ad quality and traffic quality measurement • Advertising metrics and measurement, including relevance and ad campaign effectiveness • Data mining and analytics• Ad campaign planning and optimization• Large scale distributed serving systems with high availability, reliability, and operability• Experimentation infrastructure including tools for configuring and launching experiments, dashboard, live marketplace monitoring, and diagnosis. We heavily use the recent advances in cloud computing infrastructure and AI technologies to harness massive volume of data for solving many of the above mentioned problems. We love big data!

I led a global team of engineers, scientists, product managers, and marketplace operators and analysts, responsible for building technologies and products, and running multi-billion-dollar advertising marketplace that powers Bing, Yahoo!, AOL, and Syndication Partners. I help define growth strategies, technical directions, product roadmaps, and operating cadence. We have achieved double-digit year-over-year growth in revenue per search as well as in total revenue in the past 4 years. I oversaw R&D of Advertising technologies, products, algorithms, and large scale distributed serving systems that power Bing Advertising marketplace.

I led a global team of engineers and scientists, responsible for building technologies and products, and running multi-billion-dollar advertising marketplace that powers Bing, Yahoo!, and Syndication Partners. I oversaw R&D of Advertising technologies, products, algorithms, and large scale distributed serving systems that power Bing Advertising marketplace.

Positions at Yahoo! Inc.: VP and Head of Advertising Sciences (Mar 2010 - Mar 2012) Interim Head of Yahoo! Beijing Labs (Nov 2011 - Mar 2012) Senior Director, Advertising Sciences (Oct 2007 - Mar 2010) Director of Sciences, Sponsored Search Matching Science (Jan 2006 - Oct 2007) Director of Engineering, Social Search Backend (Y! Answers, MyWeb) (Nov 2004 - Dec 2005)I was VP and head of Advertising Sciences at Y! Labs, overseeing R&D of Advertising technologies and products, including Search Advertising, Contextual Advertising, Display Advertising (both Guaranteed Delivery and Non-Guaranteed Delivery Display Marketplaces), Audience Targeting, and Categorization technologies and products. I also managed engineering teams that were responsible for the development of backend technologies for several Yahoo! Social Search products, including Y! Answers (http://answers.yahoo.com) and Y! MyWeb. I served as the interim head of Yahoo! Beijing Labs from Nov 2011 to Mar 2012.

Led the Emerging Technologies team and delivered a number of new products and product components / features: Verity Parametric Search Engine, Verity Collaborative Classifier, Verity Intelligent Classifier, Verity Extractor, Content Organization Developer’s Kit (ODK), and K2 Spider 1.0.As a Principal Architect, I helped design and develop a comprehensive suite of tools and API for efficiently organizing enterprise content using business rules, automatic document categorization, concept mapping, relational taxonomy, guided navigation, information extraction, and flexible combinations of manual editing and automatic approaches.

Key contributor to IBM's OCR Engine, Cursive Handwriting Recognition System, Postal Mail Address Recognition System, Forms Processing Systems, and IBM Focused Web Crawler.