Pranam Kolari Email & Phone Number
@walmartlabs.com
6 phones found area 650, 443, 501, and 479
LinkedIn matched
Who is Pranam Kolari? Overview
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Pranam Kolari is listed as Founding.. at 37°N, based in San Jose, California, United States. AeroLeads shows a work email signal at walmartlabs.com, phone signal with area code 650, 443, 501, 479, and a matched LinkedIn profile for Pranam Kolari.
Pranam Kolari previously worked as Vice President Of Engineering at Coupang and Investor & Advisor at Angel. Pranam Kolari holds Ph.D, Computer Science from University Of Maryland Baltimore County.
Email format at 37°N
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AeroLeads found 1 current-domain work email signal for Pranam Kolari. Compare company email patterns before reaching out.
About Pranam Kolari
Machine Learning products -- I lead teams purposefully weaving large-scale machine learning into consumer experiences.I invest in people and their careers. https://twitter.com/kolari
Listed skills include Machine Learning, Information Retrieval, Data Mining, Hadoop, and 38 others.
Pranam Kolari's current company
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Pranam Kolari work experience
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Vice President Of Engineering
CurrentSearch & Discovery Experiences across Coupang portfolio — Products, Eats, i18n — Section 16 Officer
Investor & Advisor
CurrentMentor, investor, advisor at multiple startups
Member Of Industry Advisory Board, Icme Program
Vice President, Engineering
Vice President of Engineering, Search (2020-2022): I head the Search Technology team (~300) across multiple locations, managing platform, machine learning and operations. I transformed the engine to be sustainably deep-learning powered, with a rich data capture feedback loop. Drove multiple new initiatives including universal search to bridge the physical and digital. Consistent impact of $xB+ incremental topline annuallySr. Director of Engineering, Search Algorithms (2018-2020): Head of Search Sciences and Engineering. Through the Jet acquisition and integration, I lead a team of 100+ data scientists and machine learning engineers across multiple locations. I drove a massive change in experimentation driven culture, translating into a predictable cadence of significant product impact. Director of Engineering, Search Site Lead (2017-2018): Responsible for search @walmart.com, overseeing e-commerce and grocery experiences. I lead a team of 60+ engineers (Systems, DevOps), data scientists, and product managers in California.Director of Engineering, Search Relevance (2016-2017): Responsible for search relevance @walmart.com. I inherited, and lead a team of 30+ engineers, data scientists, and human annotators.Director of Engineering, Personalization (2013-2015): Helped incubate personalization while driving the recommendation systems platform to maturity, managing the data science, engineering, metrics/insights, and product management functions. Our efforts drove additional +$XxxM in incremental revenue. In delivering the product I mentored and grew the team to 25+ full stack engineers, data scientiss and product managers.Principal Scientist, Recommendation (2012-2013): As tech lead, I rallied a small team (4+) to deliver significant topline impact (+$XxxM) to Walmart, while developing foundational machine learning technology towards future improvements of recommendation experience (e.g. People Who Bought This Also Bought, and many more).
Senior Research Engineer
Technical Leadership and Individual Contributions in various capacities.Yahoo! Personalization (2010-2012): As a key member of CORE/COKE, I contributed to improve user experience metrics on the Yahoo! Network by as much as 100%. Methods covered content selection, explore-exploit, user personalization component (implicit and explicit), and content ranking/recommendation.Yahoo! Search Ranking (2007-2009): As part of MLR (Machine Learnt Ranking) team, my efforts resulted in a cumulative improvement of 0.8% in quality metrics. Noteworthy was the first introduction of social machine learnt features into search ranking functions. Yahoo! Search Spam Detection (2007-2009): As part of Content Classification team, I developed methods to monitor and improve on spam detection and demotion within Yahoo! Search, starting from ideation, to experimentation and production implementation. In spam benchmark tests that followed a year after my contributions, Yahoo! reclaimed the lead against competitors (Google, Bing).
Research Assistant
PhD research on Semantic Web, Machine Learning and AI in general. Prof. Tim Finin was my advisor.
Ph.D. Fellow
Research on automation agents for business workflows, and socially connected enterprise (blogs, messenger) -- what was called Web 2.0.Internships and continued collaboration at IBM's T.J. Watson Research Center, and IBM Software Labs.Earlier, I worked at IBM India from 2001 to 2002, in India's early Information Technology services industry.
Pranam Kolari education
Ph.D, Computer Science
Bachelor Of Engineering, Computer Science And Engineering, Uvce
Frequently asked questions about Pranam Kolari
Quick answers generated from the profile data available on this page.
What company does Pranam Kolari work for?
Pranam Kolari works for 37°N.
What is Pranam Kolari's role at 37°N?
Pranam Kolari is listed as Founding.. at 37°N.
What is Pranam Kolari's email address?
AeroLeads has found 1 work email signal at @walmartlabs.com for Pranam Kolari at 37°N.
What is Pranam Kolari's phone number?
AeroLeads has found 6 phone signal(s) with area code 650, 443, 501, 479 for Pranam Kolari at 37°N.
Where is Pranam Kolari based?
Pranam Kolari is based in San Jose, California, United States while working with 37°N.
What companies has Pranam Kolari worked for?
Pranam Kolari has worked for 37°N, Coupang, Angel, Stanford University, and Walmart Labs.
How can I contact Pranam Kolari?
You can use AeroLeads to view verified contact signals for Pranam Kolari at 37°N, including work email, phone, and LinkedIn data when available.
What schools did Pranam Kolari attend?
Pranam Kolari holds Ph.D, Computer Science from University Of Maryland Baltimore County.
What skills is Pranam Kolari known for?
Pranam Kolari is listed with skills including Machine Learning, Information Retrieval, Data Mining, Hadoop, Java, Algorithms, C++, and C.
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