Ketan Purohit

About Ketan Purohit

AI Product Leader with 18 years of experience building enterprise-grade platforms across FinTech, SaaS, Telecom, and Digital Experience ecosystems. Proven track record of defining AI product vision, scaling applied LLM systems, and leading cross-functional organizations to deliver measurable business outcomes. Deep expertise in architecting and commercializing LLM-driven platforms including agentic workflows, RAG systems, conversational AI, and AI-powered developer tooling. Strong technical foundation combined with executive-level product strategy, governance, and monetization. Operate at the intersection of AI innovation, enterprise scale, regulatory compliance, and revenue growth.

Experience

1. Director

   Visa

   Jun 2024 — Present · Bengaluru, IN

   Own AI product strategy and execution for enterprise-grade AI platforms leveraging transactional intelligence and large language models.Defined multi-year AI product vision aligned to Visa’s growth strategy and platform modernization goals.Built and led cross-functional AI squads across Engineering, Data Science, UX, Compliance, and GTM.Established AI governance frameworks covering model risk management, explainability, bias mitigation, and fintech regulatory guardrails.Aligned OKRs to measurable business impact: accuracy >95%, latency 8, accelerated time-to-market.Automated UX Rendering Agent (Agentic AI Platform)Enterprise AI system converting Figma designs and contextual inputs into production-ready UI code.Owned product strategy, roadmap, and prioritization using RICE and MoSCoW frameworks.Architected LLM pipelines for UI code synthesis using prompt engineering, RAG, evaluation loops, and feedback telemetry.Reduced UX-to-engineering cycle time and improved frontend velocity.Positioned platform as a developer productivity multiplier across internal product teams.Conversational AI – FinTechConversational AI product leveraging Visa’s transactional data for hyper-personalized financial guidance.Defined market opportunity, value proposition, and MVP strategy.Led user research, journey mapping, and KPI modeling tied to engagement, retention, and financial behavior shifts.Implemented experimentation frameworks including A/B testing, cohort analytics, and telemetry dashboards.Delivered personalized insights, savings recommendations, and automated financial actions.Designed model selection strategy across foundation models and domain-specific tuning.Led vendor evaluations and AI infrastructure decisions balancing cost, performance, and compliance.Built evaluation frameworks with continuous monitoring and observability.Accelerated prototyping cycles using AI-native tools (Replit, Cursor, no-code UI prototyping) to reduce iteration time.

Education

• Indian School of Business

  Leadership with AI

• Duke University

  Product Management

  2020 — 2021

• Visvesvaraya Technological University

  BE, InformationScience

  2003 — 2007

Skills

• Performance Testing
• Sdlc
• User Stories
• Xpath
• Business Presentation
• Oracle
• Selenium
• Requirements Analysis
• Regression Testing
• Project Planning
• Agile Methodologies
• Business Process Analysis
• Project Delivery
• Thought Leadership
• Project Plan
• Java
• Requirement Elicitation
• Data-Driven Decision Making
• Testng
• Use Case
• User Acceptance Testing
• Client Interfacing Skills
• Windows
• Eclipse
• Gap Analysis
• Sql
• Webdriver
• Xml
• Agile Testing
• Integration
• Manual Testing
• Junit
• Test Automation
• Web Services
• Subversion
• Project Governance
• Software Quality Assurance
• Business Process Re-Engineering
• Testing
• Log4j