I am someone who believes that engineering is only as good as its weakest link. My career has been defined by a focus on reliability—whether I’m building CI/CD pipelines for large-scale systems at Accenture or designing speech-processing frameworks for car infotainment systems at Bosch. I don’t just want to build "smart" things; I want to build things that don't break when the real world gets messy.

This focus on thinking several steps ahead comes from my background as a competitive chess player. In chess, a small oversight in the opening can lead to a collapse in the endgame. I apply that same mindset to AI: if we don't build robustness into the foundation of our speech and language models now, they will fail the very people who need them most later on.

My commitment to this work is personal. I was raised by a single mother who worked incredibly hard to give me an education, and I now spend my weekends teaching technical skills to children from similar backgrounds at JeevanDeep Makkala Kendra. I see firsthand how technology can either be a bridge or a barrier. This project is my way of using my engineering skills to make sure it stays a bridge. This fall, I’ll be moving to Santa Clara University to start my MS in AI, and I plan to use this summer to prove that AI accessibility isn't just a research goal—it’s something we can actually ship and scale.