Across logistics, pricing, and AI-driven B2B tools — turning dense screens into decisions people trust.
Open to Senior / Lead Product Design rolesBehind every dense dashboard is a person who has to act on it — under time pressure, with too much on screen. An operator clearing failed deliveries. A merchant choosing a carrier. A buyer weighing an offer.
Complex tools don't fail because they lack features. They fail when that person can't tell what to do next. I design the clarity that closes the gap — turning data-heavy screens into decisions people trust when the stakes are high.
Complex, data-heavy products — turned into decisions people trust.
When AI picks the carrier, why should a merchant trust it? Designing the "why this, how confident" layer behind automated courier selection.
Three messaging channels, one agent, zero shared context. Unifying WhatsApp, Instagram, and RCS into a single workspace.
AI generated the price. The buyer still couldn't decide. Making real-time pricing signals readable enough to act on.
I started out as a graphic designer — but I quickly realised I was only working on one piece. I wanted the whole picture.
So I kept learning the next layer. From graphics to web design, where my visual background carried over. Then frontend development — because I saw that good design only matters when it can actually be built and handed off cleanly. After three years of writing code, I started to understand products — not just screens, but the full experience and the decisions behind it.
That's when I became a product designer. And as I went deeper, the business lens came in too — KPIs, metrics, and the tradeoffs behind every product decision.
Today, when I make a design decision, I can see it from four sides: what to build, how it's built, what's right for the user, and what the business needs. That's why I can make data-heavy, high-stakes decisions clear and trustworthy — because I spent 13 years learning every angle that makes a decision whole.
I prototype in code — HTML, CSS, JavaScript. So what I hand off is developer-ready, and my design decisions account for what's actually buildable.
Claude for UX specs, Figma Make for rapid prototyping, Figma MCP for token automation — AI as a design multiplier, not a buzzword.
Also fluent in Figma, ProtoPie, Adobe CS, Jira, Notion, Miro — the everyday toolkit.
Outside work, I like exploring new places and digging into their history — probably the same curiosity I bring to my work. Meditation and workshops keep me grounded and learning.
Three things shape how I move a data-heavy product from ambiguous to shippable — and they're the reason my work holds up under pressure.
The brief is rarely the real issue. Before I design a screen, I find the decision the user is actually stuck on — then design backward from that moment, not from the feature request.
I prototype in code — HTML, CSS, JavaScript — so what I hand off is developer-ready and my decisions account for what's buildable. Design and engineering stop being two separate conversations.
Claude for UX specs and edge-case thinking, Figma Make for rapid prototyping, Figma MCP for token automation. AI compresses the busywork so I spend judgment where it matters — the decision, not the pixels.
The through-line: I can see a decision from four sides — what to build, how it's built, what's right for the user, and what the business needs. That's what makes data-heavy calls clear and trustworthy.
The same skill — making data-heavy decisions clear and trustworthy — applied across logistics, pricing, e-commerce, and AI-driven tools. The domain changes; the judgment doesn't.
Unedited LinkedIn recommendations — managers, engineers, and peers I've shipped with.
[ Paste a LinkedIn recommendation here — ideally from a manager or PM, about a decision you made under ambiguity and what changed because of it. ]
[ A second recommendation — ideally from an engineering lead, about how your design made handoff or build easier. ]
[ A third — from a peer designer or cross-functional partner, about clarity, judgment, or how the team relied on you. ]
[ A fourth — optional, from a mentor or senior leader, spanning an earlier point in your career to show consistency over time. ]
Short, practical breakdowns from real product decisions — not generic theory.
Open to Senior / Lead Product Design roles — Delhi NCR, Remote, or Hybrid.