Shankar Bhargava Email & Phone Number

San Francisco, Ca, Us

San Francisco, Ca

Bentonville, Arkansas, Us

AI Assistants & Retail AI: 2019-PresentI lead a group focused on reinventing how customers shop online and in-store. My teams work at the intersection of AI (LLMs, Computer Vision, Image-Generation, Recommendations) and large scale shopping data to reinvent how customers shop online and in-store.Leading a team of 150+ ML scientists and engineers across multiple locations - California, New York, Toronto, Bentonville and Bengaluru. Driving technology strategy, long term roadmaps, strategic partnerships and acquisitions. Also leading Generative AI tech strategy across Walmart.Engineering partner for Walmart's incubation arm - https://www.storeno8.comhttps://medium.com/walmartglobaltech/tagged/voice-assistanthttps://tech.walmart.com/content/walmart-global-tech/en_us/news/articles/three-ways-we-are-using-conversational-ai-at-walmart.htmlCustomer Identity Platform, Open APIs and Social Commerce: 2018-2020 (Dir/Sr. Dir of Eng)Lead the development of largest omni-channel customer identity and data platform in the industry and its applications across eCommerce. Led the development of Walmart's Open APIs for marketing and partnerships (https://walmart.io). Scaled the shopping experiences outside of Walmart's core site and app across affiliate partners and social commerce channels. Scaled the channel by $xxxM in revenue.Marketing and Advertising Products: 2012 - 2017 (Principal Engineer/Dir of Engineering)Incubated and led multiple products across marketing and advertising including search optimization, display & paid social marketing and affiliate marketing. - Conceptualized, designed and built platforms to drive $X Billions in revenue for Walmart. - Lead data scientists, applied ML researchers and engineers (PhDs and Masters) in developing relevance models for sponsored product-ads for monetization and attribution, targeting & bid models for marketing.

New York City, Ny, Us

Greenwich, Ct, Us

San Francisco, California, Us

- Designed and implemented algorithms to improve relevancy of Salesforce.com search- Conceived and lead development of new features like 'suggested searches'- Drove the adoption of metric-driven approach for feature development. Designed and built tools and frameworks for relevancy evaluation using Hadoop and Pig.

Seattle, Wa, Us

• Founding member of the Kindle Bulk Ingestion team with the goal of automatically converting scanned image and PDF files to reflowable ebook format• Designing and building machine learning classifiers for document, page, and text analysis• Working on architecture and design of large-scale distributed document conversion pipeline

Tempe, Az, Us

• Conducted research in the areas of Web Mining, Feature Selection, Information Integration and Machine Learning • Designed and Implemented algorithms for Feature selection, Data Integration, Web page classification, Blog Clustering and Collaborative Tagging of Blogs. Published the works in peer-reviewed workshops, conferences and journals

Shenzhen, Guangdong, Cn

Lead a team of developers in designing and developing a large scale ‘Workflow Management System’ used to automate business processes

Ms, Computer Science, Machine Learning

Be, Computer Science