---
title: "Vasanth Kumar Pujari - Senior ML engineer in Bengaluru | Tal"
description: "Meet Vasanth Kumar Pujari, Senior Machine Learning Engineer | GenAI, LLMs & RAG | Production ML & Technical Leadership | PayPal, Walmart based in Bengaluru. AI stack includes claude code, claude, and codex."
image: "https://tal.club/meet/vasanth-kumar-pujari/share-image"
---

# Vasanth Kumar Pujari on Tal

## Headline

Senior Machine Learning Engineer \| GenAI, LLMs & RAG \| Production ML & Technical Leadership \| PayPal, Walmart

## About

I am a Senior Machine Learning Engineer with 8\+ years of experience across PayPal, Walmart, and LatentView\. I build ML systems for risk modeling, customer analytics, and enterprise AI, combining hands\-on development with technical direction and team leadership\. My experience spans defining business problems, designing architectures, developing and evaluating models, and leading delivery into production\. At PayPal, my work includes leading a cold\-start BNPL underwriting initiative for new\-to\-platform customers and architecting an agentic AutoML framework that orchestrates data preparation, training, evaluation, and explainability\. At Walmart, I led a four\-person team building DataBot, an LLM and RAG \- powered platform that lets associates query enterprise data in natural language\. The platform reached approximately 1,000 users, with an estimated annual productivity benefit of 17,000–20,000 associate hours\. I also developed conversion and retention models to support membership growth and reduce churn\. Earlier at LatentView, I built NLP classification and conversational analytics solutions to reduce manual work and improve access to business insights\. I enjoy making technical trade\-offs and translating experimentation into useful products Core expertise: Machine Learning • Generative AI • Large Language Models \(LLM\) • NLP • Retrieval\-Augmented Generation \(RAG\) • Text\-to\-SQL • Model Evaluation • Python • SQL • LightGBM • XGBoost I am particularly interested in problems that combine applied ML depth, reliable production systems, and collaboration across engineering and business teams\.

## Location

Bengaluru

## AI stack

claude code

claude

codex

## Work experience

Senior ML engineer at PayPal, Nov 2025 \- Present · 10 mo, Bangalore, • AutoML Agent \- Multi\-Agent LLM\-Orchestrated AutoML\| LangGraph, LLMs, LiteLLM ∗ Architected and implemented a multi\-agent LLM\-driven AutoML framework that autonomously orchestrates dataset ingestion, preprocessing, model training, evaluation, and explainability from natural\-language requests\. ∗ Impact: Reduced manual ML pipeline setup time by 70%, accelerating experimentation and enabling scalable adoption across ML workflows\. • Multi\-Country BNPL Launch Model\| Model Strategy, Cold\-Start, Risk Modeling ∗ Architected a scalable proxy\-tag\-based BNPL launch model to address the cold\-start problem across 20 new\-market launches, replacing separate per\-country model rebuilds with a unified framework and defining a graduation path to transition repeat customers to history\-based models\. ∗ Impact: Built and validated comparative experiments demonstrating \+15pp AUC improvement over the legacy model for new applicants\.

Senior ML engineer at Walmart, Jul 2021 \- Nov 2025 · 4 y 4 mo, Bangalore, • DataBot Framework\| Text to SQL, LLM, RAG ∗ Architected and developed an LLM\-powered data intelligence platform that converts natural\-language queries into SQL and delivers real\-time insights through a conversational interface\. ∗ Designed a scalable architecture supporting domain\-specific bots, Auto Suggest, interactive drill\-downs, speech\-to\-text, and Retrieval\-Augmented Generation \(RAG\)\. ∗ Evaluated and integrated LLMs including SQLCoder\-15B, GPT\-4o, CodeLlama\-7B/13B, and Llama2\-13B, along with GTE\-Large, Nomic, and Gecko embedding models for retrieval and semantic understanding\. ∗ Impact: Estimated $1M/year due to 17K to 20K hours of saved associate work time\. • Root\-Cause Mining \| BERTopic, RoBERTa, LightGBM ∗ Designed an NLP\-driven framework to mine tech\-support logs and uncover latent drivers behind poor user experience\. Applied BERTopic to cluster issue themes and used RoBERTa\-based extraction to map root causes to incident outcomes\. Built a LightGBM regression model to generate a 0–10 Delight Score at the ticket level, enabling real\-time UX monitoring and actionable insights across issue categories and support engineers\. ∗ Impact: Guided ops improvements worth $300K/year in issue resolution efficiency • Trial\-to\-Paid Conversion Model \| Classification, Boosting ∗ Architected and implemented an end\-to\-end propensity modeling framework to identify trial members most likely to convert, enabling targeted customer interventions\. ∗ Independently owned the ML lifecycle spanning data exploration, feature engineering, model development, ensemble modeling, experimentation, and evaluation using LightGBM, CatBoost, and XGBoost\. ∗ Impact: Controlled A/B experiments demonstrated 20% uplift in conversion precision and drove $1\.2M/year in incremental membership revenue\. • Developed cancellation propensity Model \| Boosting, Bigquery SQL ∗ Built a model to predict the cancellation likelihood of the W\+ subscription of a customer in next 30 days\.

Senior Data Scientist at LatentView Analytics, Jun 2018 \- Jun 2021 · 3 y, Chennai, Tamil Nadu, India

## Education

Bachelor of Technology, ENGINEERING, National Institute of Technology, Tiruchirappalli

11th and 12th standards\., MPC, narayana junior college

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

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