Portfolio · Case Studies

Twelve years of
product problems.
Documented honestly.

These case studies cover real delivery work, structured concept projects, and formal PM exercises. Each one documents a problem, the decisions that shaped the response, and what the work revealed. Real work and concept work are labeled clearly throughout.

3 case studies · 2 real · 1 concept
LMS · FinTech · Enterprise CRM
IBM AI PM · CSPO · 12 yrs execution
Real Work means production-delivered or live stakeholder engagement. Concept means structured PM or UX exercises — course work or self-initiated briefs. Both are valuable. Neither is hidden.
Concept · Course Work FinTech · AI Feature
02

Designing an AI-powered nudge system for payments — without making users feel watched.

Full PRD with prototype produced as part of the IBM AI PM program. The framing centered on what users should feel when AI touches their money — not just what the feature should do. Covers trust transparency, opt-out clarity, context sensitivity, and failure states.

Full PRD + prototype · IBM AI PM Program
Product Thinking · PRD · Prototype · AI Feature Design Read
Real Work Enterprise · CRM · Logistics
03

Field teams were ignoring a CRM the business had invested heavily in. The interface wasn't the problem — the mental model it assumed was.

Reframed the problem with stakeholders before a single screen was touched. The CRM had been built around how managers expected field teams to work. Restructuring the information architecture around actual field workflows changed the conversation — and the brief.

IA restructure · Stakeholder reframing · SPEC INDIA
UX Strategy · Information Architecture · Stakeholder Reframing Read
In preparation
In preparation · AI Feature · LMS
AI-Driven LMS Feature — Trust & Explainability

Exploring how a learning platform can surface AI-generated recommendations without eroding learner trust or creating over-reliance. Focus on explainability, feedback loops, and failure state design.

In preparation · FinTech · Onboarding
FinTech Onboarding — Reducing Friction Without Reducing Safety

A structured look at how financial onboarding flows fail users at the moment of highest friction — and how to fix the decision before the design. Focused on trust signals, progressive disclosure, and regulatory clarity.

How to read this work

Real Work is labeled clearly

It means production-delivered or live stakeholder engagement — not a portfolio exercise or redesign concept. What you see is what shipped or what was used by real teams.

Concept work is equally clear

Structured PM exercises, IBM program coursework, and self-initiated briefs are labeled as Concept. The thinking is real. The client is not. Neither is hidden or dressed up as the other.

Artifacts are available on request

PRDs, problem framing documents, and feature briefs exist behind some of these case studies. Where indicated, they're available on request — not buried in a gated download flow.

Next step

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I'm open to AI PM roles where the problem is real. I also take select consulting conversations for founders and product teams working through an AI experience challenge.

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