Good code, for good people, for good purpose.
I’m a software engineer with a strong belief that writing good code starts with understanding why it’s written. I’m not just driven by technical challenges, I’m driven by clarity of purpose. My work is always informed by the bigger picture: what the company is building, who it serves, and how each line of code contributes to that mission.
Across the stack and at Michelin key establishments
Currently building a platform for pre-seed startups on campuses.
Recently, I worked at a mental health startup, Arrowz, revamping their backend ML implementation and launching a revenue model; at a local org delivering thousands of datasets to hundreds of parishes and schools; and at an ML startup in South Africa in collaboration with Western Sydney University implementing prototype unsupervised semantic segmentation models for sky observations.
In my research, I've continued to explore semantic segmentation models @ Vanderbilt's digital lab in collaboration with our archives, training few-shot semantic segmentation models on antique stereoscopic images for VR viewing. I'm fascinated by machine learning methods and low-level programming, and as artificial intelligence development ramps up and permeates every layer of our lives, it's increasingly important to understand the science-- both as an engineer and as a citizen.
On top of engineering, I'm also an avid musician, actor, painter, and photographer. I've performed on stage for the past decade in plays and musicals, and starred in student/amateur films. My photography work is mostly for fun, although has been displayed at Vanderbilt's expo for the arts in Chicago.