---
title: "Dhinesh Babu Venkatesan - Principal Product Manager in Bengaluru | Tal"
description: "Meet Dhinesh Babu Venkatesan, Principal Product Manager — AI Platform & Agentic AI | Multi-Agent Orchestration, LLM Governance, RAG, Evaluation & Observability | M.Tech Data Science (BITS Pilani) + Executive MBA based in Bengaluru. AI stack includes aistudio, antigravity, and claude code. Explore p..."
image: "https://tal.club/meet/dhinesh-babu-venkatesan/share-image"
---

# Dhinesh Babu Venkatesan on Tal

## Headline

Principal Product Manager — AI Platform & Agentic AI \| Multi\-Agent Orchestration, LLM Governance, RAG, Evaluation & Observability \| M\.Tech Data Science \(BITS Pilani\) \+ Executive MBA

## About

Principal Product Manager — AI Platform & Agentic AI • 10\+ years owning AI platform strategy and roadmap — from 0→1 builds to 1→N scaling of agentic AI, LLM, and data platforms in enterprise SaaS\. • Deep platform breadth: multi\-agent orchestration, LLM control planes, RAG pipelines, Model/Agent Evaluation, Governance & Observability, human\-in\-the\-loop workflows, and responsible AI governance\. • Proven outcomes: AI Studio adopted across 6 product surfaces company\-wide; 2\.5M\+ queries/month, 150\+ enterprise customers, 40% accuracy gain, 25% efficiency lift, $300K competitive win\. • M\.Tech Data Science \(BITS Pilani\) \+ Executive MBA — bridges AI architecture and business strategy; aligns ML/Infra teams and C\-suite on platform roadmap and SLAs\. Core skills: AI/ML Product: Agentic AI platforms • Multi\-agent orchestration • AI as a Service \(AIaaS\) • LLM\-based products • RAG systems • Tool\-calling agents • Human\-in\-the\-loop • Model evaluation & benchmarking • Model risk management • Responsible AI & governance Product Management: Platform strategy & roadmap • Use case discovery & validation • PRDs & specs • Outcome metrics \(EGO Framework\) • GTM • 0→1 builds & 1→N scaling • Agile/Scrum • Enterprise SaaS Technical: SQL • Python • LangChain/LangGraph • CrewAI • REST APIs • Multi\-cloud \(AWS, Azure, GCP\) • Claude Code • Cursor • Figma • Jira Leadership: Cross\-functional teams • Executive communication • DS/ML & engineering alignment • Mentoring PMs • Analyst briefings \(Forrester/Gartner\)

## Location

Bengaluru

## AI stack

aistudio

antigravity

claude code

claude

cursor

opencode

## Work experience

Principal Product Manager at Simpplr, Jan 2025 \- Present · 1 yr 8 mos, Banglore, Owned the 0→1 build of an enterprise Agentic AI Platform with LLM Governance, Evaluation, and Observability\. • Led 0→1 build of AI Studio — enterprise agentic AI platform \(CrewAI orchestration\) enabling teams to build, orchestrate, and deploy AI agents across internal teams; shipped built\-in evaluation framework\. • Built AI Config within AI Studio, a centralized LLM governance layer providing compliance, organization/feature\-level controls, multi\-provider support \(OpenAI, Gemini\), BYO keys, and controlled AI rollouts\. • Established multi\-agent orchestration architecture: tool\-calling agents, human\-in\-the\-loop workflows, and cross\-agent handoffs; defined AI platform standards across all GenAI feature teams\. • Built AI Evaluation & Observability frameworks for agent and LLM quality, reliability, and performance; showcased the platform during the Forrester analyst briefing\.

Senior Product Manager \- Data Products at Reltio, Dec 2022 \- Dec 2024 · 2 yrs 1 mo, Bengaluru, Karnataka, India, Owned the AI product portfolio across Conversational AI, Data Quality, and Entity Resolution\. • Led the product strategy and delivery of RIA \(Reltio Intelligent Assistant\), enabling natural language search, data discovery, and AI\-driven insights across the Reltio Context Intelligence Platform — increasing Data Steward productivity by 25% and reducing reporting effort by 30%\. • Drove the launch and enterprise adoption of RIA, scaling to 150\+ enterprise customers and 2\.5M\+ monthly queries within the first quarter of GA\. • Entity Resolution \(FERN\): Owned the FERN Entity Resolution AI product, driving a 40% improvement in complex entity matching accuracy through AI\-powered entity resolution and model optimization\. • Owned the Data Quality \(DQ\) product strategy and roadmap, launching AI\-powered DQ scorecards and automated quality metrics that reduced data issues by 30%, increased user engagement by 55%, and unlocked new monetization through AI\-recommended Data Validation Functions \(DVFs\)\. • Owned the Customer 360 Insights roadmap, delivering AI\-driven transactional insights and automated KPIs within the MDM platform, improving customer decision\-making while reducing feature delivery effort by 66% through platform standardization\. • Defined the vision and roadmap for the Model Serving Platform, enabling pre\-built AI models and Bring Your Own Model \(BYOM\) capabilities, expanding enterprise AI adoption across 150\+ customers\. • Conducted competitive analysis and developed battle cards that supported product strategy and helped win a $300K deal\.

Product Manager \- AI Products at HTC Global Services, Oct 2021 \- Dec 2022 · 1 yr 3 mos, Bengaluru, Karnataka, India, Owned the strategy and delivery of AI\-powered products across Automotive, Retail, and Enterprise\. • TVS iQube EV: Owned the product strategy and launch of the AI\-powered software stack and an NPS\-driven dealer feedback platform, driving a 25% improvement in NPS within one quarter\. • Lulu Hypermarket: Led the product strategy and delivery of AI\-powered product recommendations and automated product content, increasing cross\-sell and upsell performance by 20%\. • DocXtractor: Owned the 0→1 product lifecycle of an AI\-powered document intelligence solution, launching NER\-based document extraction for two enterprise customers\.

Agile Product Manager at Renault Nissan Technology & Business Centre India, Jun 2016 \- Sep 2021 · 5 yrs 4 mos, Chengalpet, Led the strategy and delivery of AI\-powered solutions for CAD/CAE optimization and engineering inspection\. • Owned the strategy and delivery of AI\-powered CAD normalization, eliminating the equivalent of 9 FTEs of manual effort annually through workflow automation\. • Led the product delivery of AI\-powered engineering inspection solutions, including ANSA META Toolbox and image\-based crack/corrosion detection, reducing manual inspection effort by 80% and saving 1,700 business hours over two years\.

## Education

Master of Engineering \- MEng, Data Science and Engineering, Birla Institute of Technology and Science, Pilani

Executive MBA, Artificial Intelligence and Project Management, National Institute of Business Management \(NIBM\) Global

## Public links

- github: https://github\.com/Dhineshbabuv
- youtube\.com: https://youtube\.com/@dhineshbabuv
- medium: https://medium\.com/@dhineshbabu
- codeforces: https://codeforces\.com/profile/dhinesh
- leetcode: https://leetcode\.com/dhineshbabu

[View the original profile](https://tal.club/meet/dhinesh-babu-venkatesan)

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