I grew up with a curiosity for how things work, not just technically, but how people, tools, and decisions come together to create something useful. That curiosity led me into Computer Science, and eventually into roles where I sat right in the middle of users, engineering, and business. What I didn't realise early on was that I was slowly shaping myself into a product thinker.

Every role I took pushed me closer: At Signeasy, I learned the foundations: how SaaS products evolve, why clarity in requirements matters, and how even data driven small workflow fixes can unblock entire teams. At Travelopia, the scale changed everything. I worked across brands, interfaces, teams, and time zones. I found myself being the person people came to for structure: "What exactly are we solving?" "What does success look like?" "How do we deliver this without breaking things?" That's when I realised I wasn't just doing BA or delivery work. I was practicing product management, the kind that lives in the details as much as in the vision.

Over five years, I wore many hats: BA, PO, project manager and the thread tying them all together was one thing: I care deeply about making things clearer, faster, and more reliable for the people who use them.

Recently, I moved from India to the UAE, and that shift opened a new direction for me: AI and evaluation. AI felt exciting, but not for the hype. I'm fascinated by how models behave, how they fail quietly, and what it takes to make AI features trustworthy in real product environments. I spend my evenings running small experiments, breaking models on purpose, checking where they drift, and learning how reliability can be designed instead of assumed.

Today, I see myself as someone who builds systems: part product, part delivery, part AI learner always trying to understand how real problems become real solutions.