01
AI Fluency Gap
75% use AI — almost nobody changed how they work. Mapping where professionals stall between using AI and true fluency.
75% use AI3% fluent142× signal
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AI Product Manager · IBM AI PM · HelloPM Cohort 49 · Ahmedabad, India
I don't start with AI.
I start with the problem.
e.g.
14+ years across UX, frontend, and product execution. Now applying that depth to AI products — where the gap between what ships and what users actually trust is a product thinking problem, not a technology one.
Featured Work
Case studies that show product depth.
Problem framing, decision quality, and delivery outcomes across concept and production work.
02
Smart Mandi
Farmers know their crop — not the right moment to sell. AI surfaces the exact sell window without changing how they already work.
94% SMB AI use₹28 missed/day3 mo peak window
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03
Financial Fluency Gap
People know financial theory but still make the wrong call in the moment. Real-time consequence visibility at the decision fork — not after.
72% impulsive EMIs0 apps help now₹8,400 saved
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04
Three LMS Platforms
Three platforms, three different failures, one upstream cause. Led end-to-end from stakeholder alignment through UX, frontend and deployment.
3 delivered3 failures decoded1 root cause
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How I Work
Five layers.
One process.
From problem space to solution space — the same process mapped into five practical cards.
Problem Space
01
Frame the right problem
Most product conversations start too late — already deep in solution mode. I push back to the problem first. What is actually broken? For whom? At what cost to the business? Without this step, every decision after is built on sand.
Problem Space — Layer 1
Stakeholders
→
Context
Root Cause
→
Problem Brief
Output: A clear, agreed problem statement
02
Get close to the user
I talk to users before forming opinions — not to validate, but to learn. The signal is usually in what people do, not what they say. For AI products I add one more layer: where does trust in the system break? That is almost always where the real design problem hides.
Problem Space — Layer 2
User Segments
→
JTBD
Pain Points
→
Trust Map
Output: Validated user insights and mental models
Solution Space
03
Define the right solution scope
Most teams build too much of the wrong thing. I define the smallest version of the right solution — what must be true for it to work and what can wait. This is where prioritisation gets made honestly, and where the PRD becomes a decision document rather than a wish list.
Solution Space — Layer 3
Ideation
→
Prioritise
ICE / Kano
→
PRD
Output: Backlog and scoped roadmap
04
Design for usability and trust
I write the brief, map the flow, and spec it close enough to development that the intent survives handoff. Having shipped frontend code myself means I know what ambiguity costs. For AI features, explicit trust and error state design goes into every brief.
Solution Space — Layer 4
UX Flows
→
Feature Brief
Trust Design
→
Dev Handoff
Output: Specs that survive handoff
05
Ship, measure, adjust
I stay close through delivery. The work is not done when it ships — it is done when you understand what changed and why. The first version is usually wrong about something specific. That is not failure, that is what version two is for.
Solution Space — Layer 5
Ship v1.0
→
Measure
Learnings
→
Ship v2.0
Output: A continuous improvement loop
Craft & Capabilities
Skills, tools, and working strengths
A cross-functional foundation across design, frontend, product, and AI-enabled workflows.
Design
Research, flows, systems thinking, and interface clarity.
- Figma
- UX Research
- Design Systems
- Interaction Design
Frontend
Implementation awareness that helps keep design intent intact.
- HTML/CSS
- JavaScript
- React
- Frontend Delivery
Product
Clarity, prioritization, alignment, and execution.
- PRD Writing
- Stakeholder Management
- Roadmapping
- Discovery Thinking
AI
Practical exploration of AI product thinking and workflow design.
- AI Product Thinking
- Prompting
- LLM Workflow Design
- AI Tooling
Proof of Thinking
Thinking, Made Visible
Credentials tell you where someone has been. Artifacts tell you how they think. Working documents — the kind produced before a designer opens Figma.
Google Pay — AI Feature PRD
Full PRD from IBM AI PM program. Problem definition, trust framing, feature spec, edge cases, and success metrics. Includes working prototype.
Concept · IBM AI PM · Available on request
Problem Framing Template
A one-page format to align stakeholders before any solution discussion. Forces clarity on who is affected, what they need, and why existing options fail.
Framework · In preparation — available on request
AI Feature Brief Structure
How I structure a brief for an AI-powered feature: user need, trust considerations, edge cases, error states, and success criteria — before design begins.
Work sample · In preparation — available on request
About
IBM AI PM Certificate
HelloPM AI PM · Cohort 49
CSPO · Scrum Alliance
Meta Front-End Developer
UX + HCI · IxDF
14 years of craft.
One deliberate direction.
I started as a Jr. Web Designer in 2012. Over the next fourteen years I moved through frontend development, UX design, team leadership, business analysis, and product ownership — across FinTech platforms, SaaS products, healthcare systems, and enterprise tools. Different domains, different teams, the same underlying pull: toward the decisions upstream of design.
At Tridhya Tech that pattern became explicit. I joined as Lead UX Designer and left as Associate Project Manager — with a CSPO earned along the way. Three years of watching product decisions get made well and badly from close range. The title changed. The underlying problem I kept trying to solve did not.
I completed the IBM AI Product Manager Professional Certificate and am completing HelloPM Cohort 49 — ending April 2026. The focus: AI products where the gap between what ships and what users actually trust is still a product thinking problem. That's the problem I've been building toward.
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Years Experience
0
Domains
0
Certifications
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Direction
Career journey — scroll →
2025 – Present
Sr. Manager · AI PM Transition
63 Moons Technologies · Ahmedabad
2021 – 2025
Team Lead → BA → Associate PM
Tridhya Tech · Ahmedabad
2020 – 2021
UI Designer · FinTech Products
Digi-corp · Ahmedabad
2015 – 2020
Senior UI Designer
SPEC INDIA · Ahmedabad
2012 – 2015
Jr. Web Designer → UI Designer
Early career · Ahmedabad
Ahmedabad, India · Open to remote AI PM roles · Available for select consulting