Krishnan S K work email
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In my current role I am a Principal Group Engineering Manager in Microsoft Advertising, managing engineering for Microsoft Audience Network and Publisher Platform. I am a co-founder of Microsoft Audience Network which is the Native Advertising product of Microsoft Advertising. In Microsoft Audience Network, I currently manage the platforms and techniques for (1) Signals for User Response Prediction and Advertiser Automated Bidding, (2) Ad Ranking and Pricing, and (3) Bidding in Ad Exchanges. In this role I manage a team software engineers, applied scientists, and economists. I have 16 years of experience in software engineering and applied sciences, and 9 years of experience as a people manager. I have extensive experience in (1) Large scale infrastructure, (2) Machine Learning platforms and techniques, (3) Building successful geographically distributed teams, and (4) Incubating new products and technologies.
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Engineering LeaderMeta Jan 2022 - PresentMenlo Park, Ca, Us -
Principal Group Engineering ManagerMicrosoft Aug 2019 - Jan 2022Redmond, Washington, UsIn 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. -
Principal Engineering ManagerMicrosoft May 2015 - Jul 2019Redmond, Washington, UsIn 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. -
Senior Engineering ManagerMicrosoft Feb 2013 - Apr 2015Redmond, Washington, UsI 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. -
Senior Research EngineerYahoo! Oct 2007 - Feb 2013Sunnyvale, Ca, UsI 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. -
Research AssociateIndian Institute Of Science (Iisc) Oct 2006 - Sep 2007Bangalore, Karnataka, In• Delivered a Scalable Focused Crawler for AOL – Also published in ICML’07• Scaling SVMs for large scale problems – Published in NIPS’07 -
Co-FounderProduct Buzz Jan 2006 - Aug 2007I 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 sentimentThe product had interest from multiple Fortune 500 companies.
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Software EngineerYahoo! Bangalore Jul 2003 - Jul 2004Sunnyvale, Ca, UsMember of the Yahoo! Log Operations team responsible for Web logs delivery from all of Y! Web Servers.
Krishnan S K Skills
Krishnan S K Education Details
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Harvard Business School OnlineOther; Certificate In Strategy Execution -
Indian Institute Of Science (Iisc)Computer Science(Machine Learning) -
R.V.College Of Engineering, BangaloreNetworks And Security
Frequently Asked Questions about Krishnan S K
What company does Krishnan S K work for?
Krishnan S K works for Meta
What is Krishnan S K's role at the current company?
Krishnan S K's current role is Engineering Leader at Meta | ex-Microsoft.
What is Krishnan S K's email address?
Krishnan S K's email address is kr****@****oft.com
What is Krishnan S K's direct phone number?
Krishnan S K's direct phone number is (503) 443*****
What schools did Krishnan S K attend?
Krishnan S K attended Harvard Business School Online, Indian Institute Of Science (Iisc), R.v.college Of Engineering, Bangalore.
What skills is Krishnan S K known for?
Krishnan S K has skills like Information Retrieval, Large Scale Systems Design, Distributed Systems, Algorithms, C, Perl, Linux System Administration, Web Mining, Text Mining, Hadoop, Natural Language Processing, Large Scale Systems Implementation.
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