---
title: "Aviral Yadav - Growth Product Manager in India | Tal"
description: "Meet Aviral Yadav, Product Manager (PM) | AI/LLM Product Management | Product Strategy & Discovery | Agile | SQL & Data-Driven Decisions | TCS Alumnus | NextLeap PM Fellow based in India. AI stack includes aistudio, anthropic apis, and claude code."
image: "https://tal.club/meet/aviral-yadav/share-image"
---

# Aviral Yadav on Tal

## Headline

Product Manager \(PM\) \| AI/LLM Product Management \| Product Strategy & Discovery \| Agile \| SQL & Data\-Driven Decisions \| TCS Alumnus \| NextLeap PM Fellow

## About

I'm transitioning into AI Product Management, building on 3\+ years as a System Engineer at Tata Consultancy Services and hands\-on Product Manager training through the NextLeap PM Fellowship \(2025\-26\)\. At TCS, I managed end\-to\-end SQL data pipelines \(ETL\) across cloud\-based and downstream systems, resolved 10\+ incidents daily and 8 P1/P2 issues monthly within SLA, and cut query runtime by 20% through re\-indexing and optimization\. I worked in Agile sprint cycles, tracked work in Jira, and acted as the cross\-functional liaison between upstream and downstream teams \- skills in root cause analysis, stakeholder management, and data\-driven decision\-making that translate directly into product strategy and execution\. Through the NextLeap Product Management Fellowship, I've been applying product discovery and 0\-to\-1 product development thinking to real AI product problems: \- Designed a RAG \(retrieval\-augmented generation\) chatbot and a multi\-agent AI workflow for a fintech use case, with confidence\-based fallback logic, safety guardrails, and structured AI evaluation frameworks \(RAGAS, G\-Eval\) to catch failure patterns before they reach users\. \- Ran a full product teardown and case study on ChatGPT's voice input feature \- mapping the user journey, prioritizing the roadmap by impact, and writing a structured PRD from user research to requirements and success metrics\. \- Led a graduation project reframing Blinkit's non\-grocery cross\-sell problem: validated through primary market research \(34\-respondent survey \+ hypothesis testing\) that the real adoption barrier was purchase trust, not discovery, then designed a reversibility\-first product solution \("Buy It Back"\) and the AI\-powered backend architecture \(the Assurance Engine\) to power it \- including a provenance firewall separating LLM extraction from deterministic scoring\. I'm most interested in AI\-native products, developer tools, fintech, and consumer/quick\-commerce tech \- specifically where reliability and trust are the actual product, not just the model\. Currently open to Associate Product Manager \(APM\) and AI Product Manager roles where I can bring both the operational rigor from my engineering background and the product strategy, user research, and roadmapping skills from my PM training\. Let's connect if you're hiring for Product Management, APM, or AI Product Manager roles\.

## Location

India

## AI stack

aistudio

anthropic apis

claude code

cursor

hugging face

lovable

## Work experience

Growth Product Manager at Rebirk, Aug 2026 \- Aug 2026 · 1 mo, Bengaluru, Karnataka, India, Owned product listings end\-to\-end on Amazon and Shopify \- writing titles, descriptions, and A\+ Content, and sourcing visuals \- applying SEO and conversion rate optimization \(CRO\) best practices to improve discoverability and purchase rates\. Monitored key performance metrics \(sales, traffic, conversion rate, return rate\) and used data\-driven insights to drive refinements in listings, pricing, and campaign strategy\.

System Engineer at Tata Consultancy Services, May 2022 \- Aug 2025 · 3 yrs 4 mos, Bengaluru, Karnataka, India, Managed end\-to\-end SQL data pipelines \(ETL\) across cloud\-based and downstream systems, ensuring data accuracy and integrity for business\-critical operations\. Resolved 10\+ incidents daily and 8 P1/P2 issues monthly within SLA; reduced query runtime by 20% through re\-indexing and query optimization \- directly improving system reliability and reducing operational risk\. Acted as cross\-functional liaison between upstream and downstream systems, conducting root cause analysis \(RCA\) to identify recurring issues and drive process improvements\. Worked in Agile sprint cycles, tracking tasks, incidents, and sprint workflows in Jira, and maintaining structured documentation in Confluence \- enabling cross\-team visibility and knowledge sharing\.

## Education

Bachelor of Engineering, Mechanical Engineering, nitte meenakshi institute of technology

[View the original profile](https://tal.club/meet/aviral-yadav)

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