Shankar Bhargava

VP of Engineering

2012

AI Assistants & Retail AI: 2019-Present I 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.com https://medium.com/walmartglobaltech/tagged/voice-assistant https://tech.walmart.com/content/walmart-global-tech/en_us/news/articles/three-ways-we-are-using-conversational-ai-at-walmart.html Customer 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.

LP

2021

LP

2021

Angel Investor & Advisor

2019

Software Engineer - Search

2010 - 2012

- 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.

Software Research Engineer

2008 - 2011

• 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

Research Assistant, Data Mining & Machine Learning

2006 - 2008

• 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

Senior Software Engineer

2003 - 2006

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