👋 Hi, I'm Abhinee Chavan, a product designer with 6 years in product/UX design and 2 years in frontend engineering, focused on complex B2B/B2C workflows and AI-enabled products across enterprise ecosystems. I gravitate toward ambiguous problem spaces where clarity, trust, and decision-making matter most. I care about the details of workflows and features, but I care just as much about the systems underneath: how a product functions end-to-end so solutions scale beyond individual screens, across teams, data pipelines, and user roles.

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What kind of designer am I?

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I'm a research-first, systems-oriented product designer who values strong judgment as much as strong craft. I work to understand context, constraints, and tradeoffs before shaping solutions, balancing detailed interaction design with a holistic view of how products operate as systems. I lean heavily on data to decide, whether that's a data-intensive product or the evidence from user research. My early years as a frontend engineer mean I don't just hand off designs, I prototype in code and speak fluently with the teams who build what I design. And my work doesn't stop at high-quality output: it extends to real business impact and to UX metrics that meaningfully reflect real-world usage and trust.

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What are my recent works?

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I am designing AI-assisted workflows for enterprise users in complex financial domains.

On the product side, I designed a persona-driven conversational AI agent for enterprise analytics letting users reach role-correct insights across large dashboard ecosystems, with explainability and trust patterns like confidence scoring, root-cause analysis, and agent-to-human handoff that raised answer confidence from 65% to 95%.

On the tooling side, I built an agentic AI research pipeline (n8n + GPT, with human-in-the-loop validation) that compresses multi-source interview analysis from 5 days to a few hours — bringing evidence into product decisions faster and more reliably.

Together these reflect how I work: applying AI logic through agentic orchestration, designing the guardrails and prompts that keep experiences trustworthy, and exploring non-chat patterns: guided flows, AI-triggered actions, contextual summaries that reduce cognitive load and support faster executive decisions.

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Clients I've worked with:

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Morgan Stanley, Genworth, Fidelity, Citibank, Morningstar, Diligenta, Maersk, Procter & Gamble, H&M, Honeywell, and others.