About 14 years Fintech · ERP · AI

How I think about design.

Product design leader, currently Lead Product Designer at JBPB Offshore (HikeOn), previously 3i Infotech for six years. I work in the messy middle of enterprise complexity: design systems, AI-native workflows, design-to-code pipelines. Below are the positions I hold, how I use AI in practice, and the domains I've spent real time inside.

BaseBengaluru · remote-ready
Open toLead · Staff · Principal
DomainFintech · ERP · eCommerce · AI

Points of view.

Positions, not preferences
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Complexity is a structural problem, not a user problem.

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AI must earn trust, not assume it.

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The IA restructure no stakeholder wants to do is almost always the most valuable design decision on the project.

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A design system is a product, not a deliverable.

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Collaboration is a design skill. Not a soft skill.

AI in my practice.

How I actually use it
  1. 01

    Research Synthesis Pipeline

    Record → transcribe → LLM-assisted theme extraction → manually challenge every theme against raw notes. A 6-hour research session produces a structured insight document in under 2 hours. I use this on every project.

  2. 02

    Design Brief Generation

    From a validated workflow map, I use an LLM to generate first-draft user stories, edge cases, and acceptance criteria. Then I refine with product and engineering in 45 minutes. This replaced a 3-hour grooming meeting.

  3. 03

    UI Copy System

    I keep a prompt template library for UI microcopy. Each prompt carries the component, the user's emotional state, and the outcome I want. First drafts are about 80% usable. I edit every line before handoff.

  4. 04

    Competitive Analysis Framework

    6 competing ERP platforms mapped in 3 hours using an AI-assisted research framework I built. Previously a day and a half. The saved time goes into user interviews. Not more desk research.

  5. 05

    Accessibility Pre-Audit

    Before handoff, every component goes through an AI-assisted WCAG check. Not to replace manual judgment, but to catch contrast failures, focus order problems and missing aria labels before the developer opens the file.

  6. 06

    8 AI Features in Production

    Not just using AI in my own process. Designing it into a live product. Smart inventory alerts, dynamic pricing suggestions, demand forecasting, customer churn scoring, AI-powered catalogue search, and a full AI-agent RFQ portal. All live with real users at HikeOn.

Domains I've designed deeply inside.

14 years · not just visiting

Enterprise design is different. The stakes are operational and the users are professionals who know their own domain better than I do. I have spent 14 years understanding these domains, not simplifying them.

Enterprise ERP

eCommerce operations, inventory, procurement, fulfilment

Trading & Compliance

Commodity trading platforms, compliance monitoring, audit management, regulated enterprise UX

AI-Native Products

8 AI features live in production. Trust design at the core.

Design Systems

Token architecture, WCAG AA, code-ready component libraries, Figma → Vue.js pipelines

Consumer Scale

Global travel tech at millions of transactions per day (Orbitz, via Symphony Services)

EdTech & SaaS

Learning platforms, campus management, B2B dashboards, multi-tenant products

Let's talk if you're hiring.

Open to Lead, Staff and Principal Product Designer roles, fintech, enterprise SaaS, AI-native product, ERP. Bengaluru-based and remote-ready.

Fastest path is email or LinkedIn. I reply to every recruiter, usually same day.

© 2026 Bobin Thomas · Bengaluru, India BCA · Google UX Design Certificate (in progress)