Product strategy · AI delivery · measurable outcomes

Building AI products
that create real value.

AI & Data Product Manager

I work at the intersection of product strategy, AI/ML engineering, data, and business outcomes—taking enterprise AI capabilities from product vision and experimentation to embedded workflows and continuous improvement.

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Selected work

Projects & product case studies

Select any project to open a detailed view with the business problem, product approach, outcome, and a step-by-step workflow diagram.

11 case studies

Product toolkit

From product discovery to production learning

A combination of product leadership, AI/ML product delivery, enterprise platform experience, and business-focused measurement.

Product strategy & ownership

Product vision, 0-to-1 roadmaps, backlog prioritization, requirements, stakeholder alignment, release plans and lifecycle management.

AI/ML product delivery

Agentic AI, LLM-powered workflows, hybrid LLM + predictive ML, AI evaluations, MLOps and model-performance trade-offs.

Responsible AI & quality

AI guardrails, Human-in-the-Loop, privacy policies, DPIAs, explainability, fairness and bias-mitigation practices.

Business impact & adoption

Experimentation, product KPIs, adoption analytics, workflow automation, go-to-market and commercial opportunity assessment.

AI Product StrategyAgentic AI SystemsLarge Language ModelsFoundation ModelsRAGPrompt EngineeringContext EngineeringLLM EvaluationMLOps / LLMOpsA/B TestingPRDs & User StoriesAPI IntegrationData PipelinesResponsible AIGo-to-Market StrategyOKRs & KPIs

The foundations

Expertise, education & credentials

A blend of AI product leadership, technical delivery, enterprise strategy, and formal training—organized around the capabilities I bring to product teams.

Core competencies

Product thinking. Technical fluency. Business value.

Capabilities drawn from my product management, AI delivery, platform, and strategy experience.

01 AI product leadership

AI Product Strategy 0-to-1 AI Product Roadmap AI Product Lifecycle Management Agile Product Ownership Product Launch & Launch Readiness Stakeholder & Vendor Management PRD & BRD Documentation OKRs & KPI Tracking

02 AI & technical product delivery

Agentic AI & LLMs Retrieval-Augmented Generation (RAG) Context Engineering & Multi-Agent Orchestration LLM Evaluation & Benchmarking MLOps & LLMOps Model Drift & Latency Optimization Data Quality & Knowledge Retrieval AI Observability & Hallucination Mitigation SDLC & API Integration Responsible AI, XAI & HITL

03 Business & enterprise strategy

Customer Discovery & Problem Framing Go-to-Market Strategy Corporate & Growth Strategy Competitive & Market Research IT Service Management (ITSM) Enterprise SaaS & Workflow Automation

Education

Academic foundation

Business and engineering education supporting the bridge between technology and commercial outcomes.

2021 – 2023

T. A. Pai Management Institute (TAPMI)

Manipal, India

PGDM · Marketing & Operations

2013 – 2017

M. V. G. R. College of Engineering

India

B.Tech · Electronics & Communication Engineering

Product focus

From experimentation to measurable outcomes

Product vision and discovery, AI/ML evaluation, responsible deployment, adoption, and continuous optimization across enterprise products.

0-to-1 Product DeliveryAI/ML ProductsEnterprise SaaSProduct AnalyticsWorkflow AutomationCommercial Strategy

Certifications & learning

Professional development

Credentials and courses listed in my resume.

6 credentials

SAFe

SAFe® 6.0 Product Owner / Product Manager

Scaled Agile Framework

Project Management

Google

Google AI Essentials