Open to PM roles & AI consulting · 2026

I ship AI products
in weeks, not months.

Using agents, RAG, and real execution systems — not slide decks. 10+ years of founder-level product ownership across EdTech, Energy, Logistics & Retail.

Turn messy data into decision-ready intelligence
🤖 Automate 40–60% of ops work with agentic workflows
🚀 Connect tools into autonomous pipelines with MCP
AI Product Strategy 0 → 1 Launches RAG Pipelines LLM Agents SaaS Growth Ed-Tech Energy Fintech
Career Snapshot · 2014 – 2026
10+
Years in Product & Engineering
5+
SaaS Products Launched
50%
Avg. User Adoption Growth
30%
Customer Retention Lift
Domain Depth
Ed-Tech
90%
Energy
78%
Logistics AI
72%
Retail
65%
Fintech
58%
Claude API RAG → Decision Intelligence AI Agents → Ops Automation MCP → Autonomous Workflows LLM Orchestration Vector Databases Agentic Pipelines Product-Led Growth A/B Testing Behavioral Analytics Prompt Engineering Human-in-the-Loop Design Sitecore CMS AWS Cloud OKRs & KPIs Claude API RAG → Decision Intelligence AI Agents → Ops Automation MCP → Autonomous Workflows LLM Orchestration Vector Databases Agentic Pipelines Product-Led Growth A/B Testing Behavioral Analytics Prompt Engineering Human-in-the-Loop Design Sitecore CMS AWS Cloud OKRs & KPIs
Senthilkumar Sivaraman
Co-Founded
ZAS Digital
2020 · Chennai, India

I build what others only plan.

I'm Senthilkumar — a Product Owner, Startup Founder, and AI Product Strategist from Tamil Nadu, India. My career started as a Software Engineer at Mindtree, shipping for P&G's global digital ecosystem. Then I went independent, consulted for US-based startups in Houston, and eventually co-founded two companies — ZAS Digital and Maanavar.

Today at ZAS Digital, I lead AI-driven product strategy across EdTech, Energy, Logistics, and Retail. We use tools like Claude, RAG pipelines, and agentic LLM workflows to ship faster without cutting corners. Our approach: AI execution everywhere it helps, human decisions where it matters.

I'm a rare hybrid — I can read a tech spec, write a PRD, facilitate a discovery sprint, and present the product roadmap to investors, all in the same week.

🎯
0 → 1 Execution
From fuzzy idea to a product people pay for — I own the full arc.
🤖
AI-Native Delivery
Claude, RAG, MCP, agents — real AI integration, not just buzzwords.
📈
SaaS Growth & PLG
Behavioral loops, A/B tests, and retention strategy that move ARR.
🏗️
Founder Mindset
First-generation entrepreneur. Built from zero — that lens never leaves.
AI Era · 2024 – 2026

This is the AI bubble.
I'm already building in it.

While most PMs are still "exploring AI," I've been shipping with it. At ZAS Digital, AI is embedded into our delivery pipeline — not bolted on after. Claude for design iteration, RAG for domain-specific intelligence, MCP servers for tool orchestration, agentic workflows for automated QA.

I help startups understand where AI creates real product leverage — and where human judgment must stay in the loop. That clarity is what separates AI-washed products from genuinely smarter ones.

Claude API RAG Architecture MCP Servers LLM Agents Agentic Workflows Vector DBs Prompt Engineering AI UX Design Human-in-the-Loop
🧠
Claude API
Powering product UX, content generation, and intelligent features.
📚
RAG Pipelines
Retrieval-Augmented Generation for grounded, domain-specific AI.
🔗
MCP Servers
Model Context Protocol — orchestrating AI tools, data & agents.
AI Agents
Autonomous agents for QA, docs, API spec gen & analytics.
🎨
AI-Driven UX
Full Figma wireframe iteration via Claude — no design agency needed.
🗄️
Vector Databases
Pinecone, Weaviate for semantic search and knowledge retrieval.
🔍
OCR + ML
Document intelligence — extraction, classification, real-time alerting.
🧪
Evals & Testing
LLM output evaluation, regression testing, and prompt versioning.

10 years. Two careers.

Engineer → Consultant → Startup Founder → AI Product Leader. Every role added a layer most PMs never get.

Current Role
Previous Roles
Co-Founder & Head of Product
ZAS Digital · Chennai, India
Oct 2020 – Present

Led end-to-end product lifecycle for AI-driven SaaS products across EdTech, Energy, Logistics, and Retail. Built the company from zero to a multi-client AI-augmented consultancy — using Claude, RAG pipelines, MCP servers, and agentic workflows baked into every delivery. AI isn't a feature we add; it's how we build.

↑ 50% User Adoption ↑ 30% Retention ↓ 15% Time-to-Market +25% YoY Revenue AI Product Strategy PLG RAG / Agents
Co-Founder & Product Manager
Maanavar EdTech · Austin, Texas
Dec 2019 – Apr 2022

Co-founded an EdTech startup focused on transforming organisational learning. Wore multiple hats — CTO, Solution Architect, Delivery Manager — driving market research, system architecture, and Agile execution.

↑ 40% Project Efficiency EdTechSystem ArchitectureAgile
Software Consultant
TARDIS Corporation™ · Houston, TX
Jan 2019 – Jun 2019

Developed research architectures and data models for enterprise clients. Consulted on functional and non-functional requirements, building data frameworks that enhanced business intelligence and decision-making.

Data ArchitectureEnterprise Consulting
Sitecore Developer
Element Blue · Houston, TX
Sep 2018 – Dec 2018

Optimised Sitecore workflows and content architecture. Automated data and CMS processes, reducing operational time by 85%.

↓ 85% Operational Time SitecoreCMS Automation
Software Engineer
Mindtree (P&G account) · Bengaluru
Oct 2014 – Jul 2016

Led Sitecore implementation for P&G's global digital ecosystem. Built scalable web components across 20+ localised product websites at genuine enterprise scale.

20+ Websites Integrated P&G GlobalSitecoreSEO

Services built for the AI era.

Whether you're pre-launch, scaling, or pivoting — I bring hands-on product ownership, AI delivery speed, and founder-level strategic thinking.

🤖
AI Product Strategy
Define where AI genuinely creates leverage — and where humans must stay in the loop. I map the right architecture (RAG, agents, MCP) to your specific business problem.
Claude APIRAGMCPLLM Agents
🚀
0 → 1 AI SaaS Launch
Full ownership from idea to live — with AI-accelerated delivery. I've shipped full products in 3 weeks vs 8-week estimates. I know where startups stall and how to push through.
MVPGTMAI-AcceleratedPMF
🧭
Product Strategy & Roadmapping
From discovery to a prioritised, investor-ready roadmap. I facilitate structured discovery, define success metrics, and build backlogs engineering teams can actually execute.
DiscoveryOKRsBacklogPRDs
📊
Growth, Retention & PLG
Behavioral analytics, A/B testing frameworks, and product-led growth loops that compound. I've driven 30%+ retention improvements through data-driven engagement strategies.
A/B TestingAnalyticsPLGRetention
🏢
Fractional CPO / Product Lead
Embedded product leadership for startups not ready for a full-time hire. I run your PM function, mentor your team, and give you C-suite product judgment without the salary overhead.
FractionalMentorshipTeam Building
🌐
Digital Experience & CMS
Enterprise-grade Sitecore implementations and content architecture built for scale. Backed by direct P&G global ecosystem experience — I've seen what real scale looks like.
SitecoreCMSDXEnterprise

Problem → Decision → Outcome.

Real products. Real decisions. Real numbers. Not just descriptions.

Request Full Case Studies →
🤖 AI-Native · 2026 INPUT AI PLAN ENGINE SHIP GROW LOGISTICS AI · ENMOVIL
AI-Native · LogisticsJan 2026
Enmovil AI — Interactive Product Experience
ProblemStatic marketing pages couldn't convey 6 complex AI product chapters to enterprise prospects.
DecisionScroll-driven immersive demo. All UX driven by Claude & GPT-4o — zero design agency. 17 interactive hotspots.
OutcomeFull product delivered in 2 weeks vs 8-week agency estimate.
2 wk
Design to live
17
AI-built hotspots
🤖 AI-Native · EdTech AI MATCH TEACH SCHOOL WebRTC ● LIVE EDUHIRE · AI MATCHING · 2024
AI-Native · EdTech · India2024
EduHire — AI Teacher Recruitment
ProblemSchools wasted weeks on manual teacher-screening with no quality signal.
DecisionLLM-based candidate scoring + WebRTC live interviews. AI-driven UX from day one.
OutcomeShipped in 3 weeks vs an 8-week agency estimate. Matching accuracy validated by early school partners.
3 wk
vs 8 wk estimate
LLM
AI matching engine
🔍 OCR + ML OCR SCAN ML PIPELINE 98% accuracy CLASSIFY ALERT RECALL MGMT · OCR/ML · US · 2024
AI · OCR/ML · US2024
Recall Management System
ProblemManual review of product recall documents took compliance teams days per batch.
DecisionOCR + ML classification pipeline with real-time alerting — zero human review for standard cases.
Outcome98% classification accuracy. Review time cut from days to minutes.
98%
ML accuracy
Real-time
Alert pipeline
🎓 EdTech · Co-Founded MAANAVAR LMS Module 1 Module 2 Module 3 +40% efficiency MAANAVAR · EDTECH · AUSTIN TX
EdTech · LMS · US & India2019 – 2022
Maanavar — Organisational Learning Platform
ProblemOrganisations lacked a structured, digital-first way to upskill teams — training was scattered, untracked, and ineffective.
DecisionCo-founded the company and built a full LMS from scratch — module-based learning, progress tracking, and admin dashboards. Led as CTO, Solution Architect & Delivery Manager simultaneously.
Outcome40% improvement in project delivery efficiency. Validated product-market fit across corporate training segments.
40%
Efficiency gain
Co-founded
Full ownership

My frameworks for AI product decisions.

Senior PMs don't just execute — they have frameworks. Here's how I think about the problems most teams get wrong.

01

RAG vs Agent — When to use which

Most teams reach for agents first because they sound impressive. I start with the question: does this need to retrieve or does it need to act? RAG is the right call when you need grounded, accurate answers from your own data — support bots, knowledge bases, document Q&A. Agents are right when you need multi-step autonomous action — workflow automation, dynamic API orchestration, real-time decision loops. Mixing them up is where AI products fall apart.

RAGAgentsArchitecture
02

The Human-in-the-Loop boundary

Every AI product needs a clear boundary: what does AI decide, what does a human decide? I map this explicitly before writing a single PRD line. AI handles: scaffolding, test generation, UI iteration, documentation, boilerplate. Humans decide: architecture, security, UX choices, final QA, product direction. This isn't about distrust — it's about risk-proportionate design. Products that skip this step fail in production.

AI GovernanceRisk DesignUX
03

The 0→1 AI product checklist

Most AI products fail not because of bad models — but bad product decisions. Before any build, I validate: Is this a real user need or an AI use case looking for a problem? What's the data quality? Can the LLM hallucinate its way into a critical user path? What's the fallback when AI fails? Is the latency acceptable for this UX context? These 5 questions alone kill 70% of bad AI product ideas before they burn a sprint.

Product Validation0→1Risk
⚡ Live AI — Powered by Groq · Llama 3.3 70B

Three AI tools. All live. All free.

Chat with me, scope your startup MVP, or check if I'm the right fit for your job — powered by real AI, not scripted responses.

🔑
Enter your Groq API key to activate
Free at console.groq.com — no credit card. Key stays in your browser only, never sent anywhere except Groq.

Are you at one of these stages?

I've helped founders at every stage — here's exactly what I bring to each.

Stage 1
💡

Idea / Pre-MVP

You have a strong idea but haven't validated it yet. You're not sure if you need RAG, agents, or a simple API call.

What I do: Run a structured discovery sprint. Kill bad assumptions early. Define the 3-week MVP scope and AI architecture — before you spend a rupee on engineering.

Validate my idea →
Stage 3
🏢

Fractional CPO Need

You need senior PM leadership but aren't ready for a full-time exec hire. Your eng team is strong but lacks product direction.

What I do: Embed as your part-time Head of Product. Own the roadmap, run sprint planning, mentor your PM/eng, and represent product at board level.

Hire me fractional →

What clients & teams say.

⭐⭐⭐⭐⭐

"Senthil has an unusually rare skill — he thinks like a founder and executes like an engineer. He doesn't wait for a perfect spec. He shapes ambiguity into something the team can build and ship."

SR
Startup Founder
EdTech · US
⭐⭐⭐⭐⭐

"The AI-augmented delivery at ZAS Digital is real — not marketing. They shipped our MVP in 3 weeks when every other agency quoted 8. And the quality held. We're still running the product today."

KM
Product Lead
SaaS · India
⭐⭐⭐⭐⭐

"Senthil brings business instinct into every product decision. He doesn't just manage a backlog — he understands why each item matters to the bottom line and will push back when it doesn't."

AT
CTO
Energy Tech · UK

Let's build something real.

Whether you need a Product Owner embedded in your team, a fractional CPO to lead AI strategy, or a partner to take your SaaS from 0 to launch — let's talk.

Open to PM roles & AI consulting — 2026
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