The first time I fell in love with problem-solving, I wasn’t in a classroom—I was holding a controller. I was deep into a Zelda dungeon, stuck on a puzzle that seemed impossible. But instead of giving up or searching for a walkthrough, I kept trying. Step by step, I mapped out the solution. Hours passed, and I finally figured it out. I didn’t realize it then, but that moment of struggle, analysis, and ultimate success mirrored what I would later fall in love with in computer science.
That mindset—being curious, determined, and willing to break complex problems into smaller, more solvable pieces—has shaped who I am today. My passion for computer science really took off when my dad enrolled me in a Minecraft-based coding class. From making basic animations to more advanced projects involving APIs and web development, I was hooked. What fascinated me most was how a few lines of code could turn an idea into something interactive and impactful.
My interest in real-world applications of computer science deepened when I built FitnessAI, an AI-powered web app I designed to help my parents stay on track with their fitness goals. Using Flask and OpenAI’s API (along with Google Gemini and Hugging Face APIs), I created a system that could generate custom workouts, track calories, and track real-time body positions through the user’s webcam to provide interactive feedback. It’s kind of like a virtual trainer. What started as a solution for my family became a passion project aimed at helping anyone who struggles with consistency in the gym. The project also won first place in an AI competition, but more importantly, it taught me that code isn't just about tech, it's about people.
During my internship at National Instruments (NI), I took those skills to the next level by automating over 300 steps of a licensing review process. I created, modified, and deleted backend entries using HTTP requests, and wrote over 200-unit tests to ensure reliability and error handling. It wasn’t glamorous work, but it was deeply rewarding. I saw firsthand how software could make teams more efficient and improve workflows—not with some flashy breakthrough, but with deliberate, thoughtful engineering.
Reading about Arthur Walasek’s legacy, I felt an unexpected connection. Like him, I started coding through a personal hobby. For Arthur, it was gaming and eventually dazzling holiday displays and AI. For me, the gym has always been one of my biggest hobbies and I was inspired to motivate and improve the gym experience for my parents and, eventually, for anyone who needed help. Both of us found joy in tinkering, building, and creating tech that brings light (sometimes literally) into people’s lives.
In the future, I want to work in AI-driven product development, especially in industries like healthcare, fitness, and education. These are areas where smart technology can truly improve lives, making knowledge more accessible, healthcare more efficient, and fitness more attainable. Whether it’s building tools to support mental wellness or apps that help students learn faster, I want to use AI not just for its tech savviness, but for its transformative potential.
I want to wake up knowing the tools I build make someone’s life just a little easier, healthier, or happier. That’s what inspires me: solving real problems for real people, using the language of logic, creativity, and empathy that I’ve come to know as computer science.