Aug 2019 – Jan 2022 · 2 yrs 5 mos

• In Microsoft Audience Network, I manage Engineering and Machine Learning for the following:
• Building scalable, high throughput, low cost and latency serving infrastructure
• Signals, Ad Ranking & Pricing, and Real Time Bidding in Ad Exchanges – (1) User Click, Conversion, and Value prediction, (2) Advertiser Automated Bidding for various advertiser goals such as Target ROAS, Max Clicks, etc., (3) Reinforcement Learning for Real Time Bidding in Ad Exchanges, and (4) Algorithms for ad ranking and pricing
• Publisher onboarding and analytics platform for Search and Audience Network publishers
• Search ads growth in other third-party publishers such as Yahoo!, AOL, etc.
• In this role I manage a team of software engineers, applied scientists, and economists.
• I am a co-founder of the Microsoft Audience Network, the Native Advertising product of Microsoft Advertising.

May 2015 – Jul 2019 · 4 yrs 2 mos

• In Microsoft Audience Network, I managed Engineering and Machine Learning for the following:
• Building scalable, high throughput, low cost and latency serving infrastructure
• Signals, Ad Ranking & Pricing, and Real Time Bidding in Ad Exchanges – (1) User Click, and Conversion, prediction, (2) Advertiser ROI Optimization, (3) Real Time Bidding in Ad Exchanges, and (4) Algorithms for ad ranking and pricing
• Search ads growth in other third-party publishers such as Yahoo!, AOL, etc.
• In this role I managed a team of software engineers, applied scientists, and economists.
• I am a co-founder of the Microsoft Audience Network, the Native Advertising product of Microsoft Advertising.

Feb 2013 – Apr 2015 · 2 yrs 2 mos

• I managed Engineering for Search Advertising in non-US geographies (30+ markets in Europe, Latin America, South and Southeast Asia, Australia, and New Zealand). In this role I managed a team of software engineers, applied scientists, and economists for building platforms and techniques for Ads ranking and pricing, and Microsoft Advertising internal reporting. I delivered multiple engineering solutions including (1) Large scale counterfactual experimentation, (2) High throughput, low latency platform for Microsoft Advertising internal reporting, (3) Migrating multiple geographies from Yahoo! Advertising to Microsoft Advertising, and (4) Techniques for ad ranking and pricing.

Oct 2007 – Feb 2013 · 5 yrs 4 mos · Bangalore Area, India

• I developed multiple Engineering platforms and Machine Learning techniques for problems in (1) Multimedia processing and understanding, (2) User Generated Content modeling, (3) Search ranking, and (4) Creative Optimization. I designed and implemented technologies including (1) Yahoo!’s first large-scale modeling platform for Video content to support Video Summarization, Video Classification, and Entity Detection, (2) Multi-modal ranking in Yahoo! Search, (3) User comment spam detection and comment ranking for all articles on Yahoo!, and (4) and Creative Optimization in Yahoo! Search.

Oct 2006 – Sep 2007 · 11 mos

• Delivered a Scalable Focused Crawler for AOL – Also published in ICML’07
• Scaling SVMs for large scale problems – Published in NIPS’07

Jan 2006 – Aug 2007 · 1 yr 7 mos · Bengaluru, Karnataka, India

• I was the co-founder of a startup which focused on helping brands in quickly assimilating and understanding user sentiment across the web for any product, event, etc. This included building platforms and machine learning techniques for (1) Scalable extraction of reviews from heterogenous user & expert review websites, (2) Unsupervised entity detection and sentiment analysis, (3) Visualizations for deep & wide analysis of sentiment
• The product had interest from multiple Fortune 500 companies.

Jul 2003 – Jul 2004 · 1 yr

• Member of the Yahoo! Log Operations team responsible for Web logs delivery from all of Y! Web Servers.