Kunal Chhabaria

About Kunal Chhabaria

I’m a Lead Product Manager focused on building AI/ML systems that drive measurable business impact in advertising and commerce. At Walmart Connect, I lead the development of AI-powered advertiser optimization platforms—from agentic AI systems that deliver intent-aware diagnostics and automated actions, to ML-driven recommendations across bidding, budgeting, items, and keywords. My work has directly contributed to $100M+ in incremental ad revenue, improving how advertisers discover demand, optimize performance, and scale efficiently. I’ve built and scaled 0→1 products across: Agentic AI & optimization systems for real-time decisioning Recommendations platforms (items, keywords, bidding, budget) Auction & yield optimization (pricing, reserves, ranking improvements) Incrementality & measurement (quantifying true business impact) Beyond building systems, I focus on translating complex ML capabilities into intuitive, high-leverage product experiences—enabling advertisers to take action with clarity and confidence. Prior to Walmart, I was part of the Tata Administrative Services (TAS) leadership program, where I led cross-functional teams to build consumer products at scale, including payments innovation and platform integrations across Tata’s ecosystem. I hold a Master’s in Product Management from Carnegie Mellon and have been granted the O-1A visa for extraordinary ability in AI & ML. I’m particularly interested in problems at the intersection of: AI/ML + decisioning systems Ads monetization & marketplace dynamics Personalization, recommendations, and optimization

Experience

1. Lead Product Manager

   Walmart Connect

   Jun 2023 — Present · San Francisco, CA, US

   Agentic AI for Advertiser Optimization: Led development of an agentic analytics and optimization system within Walmart’s AI advertising assistant (Marty), enabling advertisers to receive intent-aware diagnostics, forecasting, and automated optimization pathways across ad metrics.AI/ML Budget & Bid Strategy Recommendations: 0-1 launch of an AI/ML powered decisioning system that detects campaign inefficiencies (budget exhaustion, optimization strategy, missed incremental demand) and surfaces real-time optimization actions, driving ~$57M in incremental ad revenue.Item & Keyword Recommendations: Developed ML-driven item and keyword recommendation system identifying high-potential items and keywords to add to campaigns based on campaign performance signals and demand trends; paired with bid, budget recommendations and Incremental Sales Claim to drive measurable gains in campaign performanceRecommendations Hub: Building a Recommendations Hub that helps advertisers enhance their campaigns through budget allocation, bidding strategy changes, item and keyword additions via a 1-click apply solution.Yield Improvement & Auction Dynamics: Improved yield by launching a pricing dial for previously purchased products and dynamic reserves for top 4 slots leading to $20Mn incremental Ad Revenue.

Education

• Carnegie Mellon University

  Master of Science , Product Management

  2021 — 2021

• Faculty of Management Studies - University of Delhi

  Master of Business Administration (M.B.A.)

  2016 — 2018

• NIRMA UNIVERSITY

  Bachelor of Technology (B.Tech.), Computer Engineering

  2012 — 2016

Skills

• Business Development
• Digital Marketing
• C
• C++
• Public Speaking
• Design Thinking
• Strategy
• Product Management
• Networking
• Cloud Computing
• Software Project Management
• Leadership
• Customer Service
• Microsoft Office
• Linux
• Vendor Management
• Strategic Planning