Horizon

During my internship, I worked on identifying real-world problems and exploring whether they could become viable startup ideas. A major learning was understanding that finding the right problem is often harder than building the solution. I learned firsthand how powerful Reddit and online communities can be for problem discovery - observing recurring complaints, workarounds, and discussions to understand what people genuinely struggle with. I also applied principles from The Mom Test: asking about people's actual past behaviour and experiences rather than pitching an idea and asking whether they liked it. This helped me distinguish strong problem signals from polite agreement. On the technical side, I explored JEPA models and AI architectures, along with rapid prototyping of different ideas. Domains explored: - ML & Generative AI - experimenting with generative architectures and understanding where they create genuine user value vs. where they are solutions in search of a problem. - Medical AI - exploring pain points in patient-doctor communication, diagnostic support, and health data access in the Indian context. Overall, the internship taught me problem discovery, user research, validation, asking better questions, identifying genuine pain points, rapid experimentation, and knowing when to pursue, iterate on, or discard an idea. Motto: Beyond every horizon.

My dream isn't simply to build a successful startup; it is to find a problem that genuinely matters to people and build something that solves it well.