I am an engineering student at the Olin College of Engineering, studying engineering with computing. I am really interested in largescale software development, machine learning, and firmware.

At Olin, I am heavily involved in on-campus research and our Formula SAE team.

Currently, I am a researcher in the Olin College Crowdsourcing and Machine Learning Laboratory, which develops accessible technologies for individuals who are visually impaired and blind. I am currently focusing on benchmarking one of our apps, InvisibleMap, and using that data to make design improvements.

I am also leading the Vehicle Integration and Optimization subteam of Olin Electric Motorsports, where I am leading efforts to develop the team's infrastructure and advanced research projects (like regenerative breaking and launch control) to optimize our vehicle's performance.

During my first year, I had the chance to work in Olin's Human Augmentation Laboratory, which is investigating how augmented reality can enhance daily life. Towards this goal, I developed a hand signal classification system that can classify a user's hand signal in real-time, triggering a response on an augmented reality headset.

In my free time, I love spending time at the gym or rock climbing 🏃, playing the tuba 🎶, and going to Dunkin ☕.