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AI ProductManager.

Building and shipping real products before my first PM role.

About

I've built and shipped four products end-to-end — Kartify, CafeOS, Tapinfi and FinMate — before ever holding a Product Manager title. Each one ran through the full product loop: customer discovery, JTBD framing, prioritization, scoping, shipping, and post-launch measurement. The craft is already the work I do.

My BA and QA background is not a side story — it's the same PM work under a different job title. Requirements gathering, acceptance criteria, stakeholder negotiation, bug triage and release validation are exactly what Product Managers do before a feature gets written. The self-initiated products are even stronger evidence: nobody assigned them, nobody paid me for them, and I still chose the problems, ran the research and shipped the builds. That kind of unprompted judgment is harder to teach than a title.

I want to be one of the leading AI Product Managers of the next decade. Not for the title — because the products that matter will be the ones that explain their reasoning, not just their output, and that's the same principle I designed into Kartify. That's the trajectory I'm on.

Products Shipped
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Case Studies
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Frameworks Practiced
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AI Experiments
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Featured Products

Shipped Products

Shipped and prototyped from 0 to 1 — click any card to inspect.

2022 — Present

Case Studies

Problem → Research → JTBD → PRD → Metrics → Lessons.

6 studies
Problem

Shoppers waste hours comparing products across marketplaces with inconsistent specs, reviews and pricing.

Research

12 user interviews across three shopping personas; competitive teardown of Amazon, Perplexity Shopping and Google Shopping.

JTBD

When I'm buying a considered product, I want a trusted advisor that asks the right questions, so I can decide confidently without opening 20 tabs.

PRD

Conversational search with clarifying follow-ups, memory of preferences, structured comparison and a recommendation with reasoning.

Career Trajectory

Greenfinch Global Consultancy

Business Analyst & QA Intern

Recent

Gathered requirements, wrote BRDs and PRDs, ran QA cycles and validated user flows alongside developers and clients.

  • ·Owned requirement clarity across sprints
  • ·Bug triage and regression coverage
  • ·Client discussions and acceptance criteria

Assert InfoTech

Business Analyst

Earlier

Stakeholder communication, workflow analysis and functional specifications across product discussions and testing support.

  • ·Requirement gathering and documentation
  • ·Feature validation and acceptance criteria
  • ·Process improvement across teams

Founder Track

Tapinfi

Digital Business Card SaaS
Founder

Built a SaaS platform enabling professionals to instantly share digital profiles using NFC-enabled smart cards.

Product VisionPricing StrategyGTM & GrowthRoadmap

Bharat Svarga

AI Tourism Platform
Founder

AI-powered travel platform focused on spiritual and heritage circuits in Rajasthan — starting with Jaipur–Pushkar–Ajmer — that pairs personalised itineraries with a curated network of local vendors (homestays, guides, transport). Onboarded ~25 pilot vendors in Jaipur before scaling into a second circuit.

Product Discovery (traveller + vendor interviews across Jaipur)Business Model (commission + vendor subscription tiers)AI itinerary engine (LLM + regional POI knowledge base)Service Design for offline vendor onboarding
From LinkedIn

Latest Posts

Latest three posts — newest first. Full archive on /thoughts.

View all thoughts →
#AI

The best AI PMs I know spend 80% of their time on evals and 20% on prompts. Here's the loop I run every week…

Read on LinkedIn →@durlabhdaryani
#Discovery

Customer discovery without a research team: 5 interviews, one spreadsheet, and the JTBD you actually ship against.

Read on LinkedIn →@durlabhdaryani
#Playbook

How I ship an MVP in 6 weeks — the exact week-by-week breakdown for Kartify.

Read on LinkedIn →@durlabhdaryani

Framework Library

The mental models I lean on to decide what to build, what to cut and what to test next.

Discovery
JTBD

Understand the underlying job customers hire your product to do — beyond features.

The Lab

AI experiments, prototypes and workflow tools I build for myself.

01
Experiment

Prompt Engineering

Structured prompt libraries, evals and prompt-as-spec workflows.

02
Experiment

AI Agents

Tool-using agents with planning, memory and reflection loops.

03
Experiment

Multi-Agent Systems

Coordinated agents for research, comparison and synthesis tasks.

04
Experiment

MCP

Model Context Protocol tooling to give assistants safe access to real systems.

05
Experiment

n8n Automation

Product-ops workflows: research, outreach, monitoring and triage.

06
Experiment

RAG + Vector DBs

Grounding LLMs in private knowledge with retrieval-quality evals.

Education & Certifications

Degree
Bachelor of Computer Applications (BCA)
Artificial Intelligence & Data Science · Vivekananda Global University, Jaipur
Certifications
Google Product ManagementAI Product ManagementScrum FoundationsAgile PractitionerPrompt EngineeringGenerative AIProduct AnalyticsUX Fundamentals