I'm Indudhara, a Product Designer with 6+ years of experience turning early-stage ideas into investor-ready prototypes. I work across disciplines partnering with founders, researchers, developers, and product managers to find the right problem before designing the solution.
Each project tells a different story about how I think: from 0 to 1 research to feature design in a mature system.
Prototype ended up in the client's investor pitch deck.
10 interviews. Two user types. One greyscale prototype that ended up in the client's investor pitch deck.
Client described the presentation as leaving them speechless.
Racehorse health monitoring, built from scratch with AI-assisted research. High fidelity in a completely unfamiliar domain.
Delivered end-to-end in one week. Approved by the client.
The hard part wasn't the UI. It was rethinking the existing flow to make the new feature possible.
Research reframed the problem: not a UX issue, a value architecture issue.
Auto-ethnography, 4 user interviews, an SME with 15 years in e-learning, and a competitive sweep. The research didn't find a UX problem.
I've built a deliberate practice around using AI in UX work. Not as a generator you prompt once and paste from, but as something you think alongside. The difference shows in the work.
I ask it to find the gaps in what I don't know yet.
Not just "explain this field." I ask what practitioners care about, what the edge cases are, where domain novices usually get it wrong. Weeks of background reading, compressed to hours.
I push back until the insight is actually defensible.
I bring transcripts, get a first read, then pressure-test it. Surface patterns get rejected. I keep going until there's evidence behind every claim, not just a theme with a label on it.
I find the holes before stakeholders do.
I describe the design and ask where the logic breaks. Not looking for validation. Looking for the thing I missed. If it's there, I'd rather hear it in a chat window than in a client review.
I tell it what not to give me before I ask for anything.
Format constraints go first. Then the ask. Then I want the reasoning alongside the output, so I can evaluate the logic, not just accept the result. When the framing is wrong, I stop and correct it, not work around it.
Format constraints come before the ask. "No lists, no headers. Two sentences of reasoning and a recommendation." This removes the default reflex to produce structure and forces the model to actually answer the question.
Every output comes with the reasoning behind it. I want to evaluate the logic, not just whether the result sounds right. If I can't explain why, I can't defend it in a room.
When AI misframes the problem, I name it and restate the constraint before moving on. Framing errors compound. Five exchanges in, you're building on a broken foundation and the output looks plausible but isn't.
I had the privilege of working with Indu over the course of about a year on a project where he served as a UX Designer within an application design team. Throughout our collaboration, Indu consistently demonstrated a deep understanding of user interaction principles and sound technical knowledge. His curiosity, desire to learn, and ability to balance creativity with functionality were significant in shaping the UI and UX of our product. Beyond enhancing the product's design, Indu also contributed to the improvement of our design library, setting a high standard for a quality user experience. Indu would be a valuable asset to any team.
I had the pleasure of working with Indu during his time as a UX Designer in our Smart Manufacturing team, where he consistently demonstrated an exceptional blend of creativity and user-centred design. Indu worked on key business use cases and created low and high fidelity prototypes on client engagement portfolios. One of Indu's unique strengths is his attention to detail, which extends beyond digital design into his expertise in calligraphy. Beyond his technical and artistic talents, he is an outstanding collaborator.
I worked with Indu on the IntelligentOps Product Management and Design Team and he was an absolute pleasure to work with. He has a strong creative flair, always follows through, and has a very easy going personality that is great to work with and to have on a team. He is also very receptive to feedback to ensure the final design is flawless and useful to the team. I would recommend him without any reservation.
Indu brought a positive and engaging energy to his studies while at Maynooth University. As his dissertation supervisor I was impressed by the way he displayed a desire to research and explore new territory. His indefatigable charm opened many doors, and whether in Bangalore or Kildare, he was committed to using his design skills to contribute to making the world a better and more equitable place to live.
I had the pleasure of working with Indudhar at Deloitte from 2021 to 2023 on the Smart Manufacturing project. As our lead UX Designer, Indudhar brought a unique blend of creativity and technical expertise to our team. His design skills were exceptional, and he consistently delivered innovative solutions that exceeded expectations. His positive attitude and easygoing personality made him a valuable asset to our team.