---
title: "Kumar Saurav - Staff Data Scientist in Greater Bengaluru Area | Tal"
description: "Meet Kumar Saurav, AI/ML Leader | Staff Data Scientist @ Walmart Global Tech | GenAI, LLMs, Agents, Search, Ranking & Recommender Systems | Driving AI Strategy and Business Impact based in Greater Bengaluru Area. AI stack includes langchain, langgraph, and openai."
image: "https://tal.club/meet/kumar-saurav-1/share-image"
---

# Kumar Saurav on Tal

## Headline

AI/ML Leader \| Staff Data Scientist @ Walmart Global Tech \| GenAI, LLMs, Agents, Search, Ranking & Recommender Systems \| Driving AI Strategy and Business Impact

## About

Seasoned AI/ML Leader with 17\+ years of experience driving business transformation through Artificial Intelligence, Machine Learning, Generative AI, and Advanced Analytics across retail e\-commerce, marketplaces, and financial services\. Expertise spans Generative AI, Large Language Models \(LLMs\), Recommendation Systems, Search & Ranking, NLP, Deep Learning, and Decision Intelligence\. Proven ability to define AI strategy, influence stakeholders, and lead large\-scale cross\-functional initiatives from concept to production\. Experienced in translating business objectives into scalable AI/ML solutions, owning the end\-to\-end lifecycle from opportunity identification and solution design to deployment, monitoring, and continuous optimization\. Inventor of a patented recommendation system with a passion for applying AI/ML to solve complex, high\-impact business challenges and deliver measurable business outcomes at scale\.

## Location

Greater Bengaluru Area

## AI stack

langchain

langgraph

openai

huggingface

ChatGPT

Microsoft Copilot

## Work experience

Staff Data Scientist at Walmart Global Tech India, Sep 2021 \- Present · 5 yrs 1 mo, Bangalore Urban, Karnataka, India, Foundational Language Model: o Designed and implemented foundational LLMs with pre\-training and fine\-tuning strategies tailored for Walmart’s catalog data\. o Enabled high impact use cases, including product attribute extraction and duplicate item detection in catalog\. Marketplace Seller Risk: o Listing Fraud Detection: Conceptualized and developed a system to identify and reduce counterfeit item listings caused by branded content misuse\. o Utilized Text and Image modalities to detect counterfeit items in catalog Marketplace Assortment Growth – Recommender System o Developed and launched a two\-tower deep learning recommender model to drive assortment growth in Walmart\. o Delivered a single solution addressing assortment recommendations for existing items and seller recommendations for new products \(not a part of Walmart\)\. o Filed for Solo Patent with Patent Reference Number: 8168US01 o Chosen as one of the research papers \(out of 678\) in Walmart SparkTech’23 Summit, an internal technical paper competition, for in\-person presentation, hosted in Bentonville, US Customer Intent Classification o Launched BERT\-based models to classify customer intent \(pre/post\-transaction\) and improve seller experience\. Seller Empowerment via GMV prediction o Conceptualized and developed solutions to predict future GMV for recommended items o Helped seller make an informed decision about acceptance/rejection of recommendations\. Others: Multiple predictive models using ML to solve different business problems\.

Senior Data Scientist at Walmart Global Tech India, Oct 2018 \- Present · 8 yrs, Bengaluru Area, India

Assistant Vice President at Citi, Oct 2016 \- Oct 2018 · 2 yrs 1 mo, Bengaluru, Karnataka, India, 1\. Worked on problems related to cross\-selling, IVR call classification, recommendations\. 2\. One of the few members to introduce Deep learning for the projects within organization\. 3\. Worked on Multi\-label classification, Bayesian Optimization etc\. Cross\-Sell Initiatives o Developed classification models for APAC/EMEA countries using multiple ML techniques\. o Delivered multiple Cross\-sell targeting models for different lending products being offered by Citi for Russia/North America to optimize the offer pallet\. Multilabel Classification Models – Call Intent Categorization o Deployed text mining techniques to classify customer calls into multiple categories using binary relevance and chaining methods\. Balance Growth Model o Developed a Logistic Model to identify the customers who are more likely to grow their balances in future with Citi o It has been implemented to identify Balance Growers and proactive RM \(Relationship Manager\) assignment and Optimization\. o Estimated yearly Revenue impact of $3MM\. Balance Attrition Model o Developed attrition Model to trim down losses due to balance eroding households by proactive targeting of attrition prone households in future\. o Model has been implemented with estimated yearly Revenue impact of $5MM\.

Manager at Citi, Jan 2014 \- Oct 2016 · 2 yrs 10 mos, Bangalore,India

Assistant Manager at Citi, Jul 2012 \- Dec 2013 · 1 yr 6 mos, Bangalore

Assistant Manager at GENPACT LLC, Mar 2011 \- Aug 2012 · 1 yr 6 mos, Bangalore, Worked mostly on Exploratory Analysis, Modeling and Segmentation

Analyst at AbsolutData Research & Analytics, Oct 2008 \- Mar 2011 · 2 yrs 6 mos, 1\. Brand awareness and market segmentation study 2\. Brand architecture and brand positioning analysis 3\. Exploratory data analysis

Trainee at The Ohio State University, May 2006 \- Jul 2006 · 3 mos, Summer internship at Ohio State University

## Education

B\.Tech and M\.Tech, Agricultural Engineering, Indian Institute of Technology, Kharagpur

Chinmaya Vidyalaya, Bokaro Steel City

[View the original profile](https://tal.club/meet/kumar-saurav-1)

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