AI Systems Engineer & Researcher

Building robust ML systems by day, pursuing my passions at night. Passionate about finding patterns in complex systems, whether in code or on the field.

About Me

I'm a Computer Science student at the University of Maryland, graduating in May 2026. I'm passionate about creating ML applications for things I'm passionate about, whether it's for personal interests or for issues that I care about!

Right now, I'm channeling this passion into my research, where I'm using Generative AI to automate the discovery of insights from scientific literature and satellite data. I'm always looking for the next hard problem to solve.

Projects & Experience

AI Music Detection App

Personal Project

Developed a full-stack app to classify music as AI-generated or human-made by analyzing spectrograms with a CNN, achieving 92% accuracy. Built with a React frontend and Flask backend.

PyTorch React.js Flask Computer Vision

Research & Reading

Automating Scientific Discovery

As a Research Intern at the University of Maryland, I'm currently spearheading a project to automate insight discovery from scientific literature. My work involves architecting a data pipeline that uses Generative AI and the ArXiv API to extract, analyze, and validate agricultural indices from research papers against real-world satellite data.

This work builds on my foundational research which led to my co-authored publication, "An Overview of Drones in Agriculture."

My Digital Bookshelf

I maintain a public repository of my notes and analysis on the ML papers I'm reading. It's my way of learning in public and solidifying my understanding of the field's foundations.

View My Paper Notes

My Other Playbooks

When I'm not building systems, you can find me diving into one of my other passions. I'm a die-hard Packers fan, a music nerd always looking for the next great album, and a tech enthusiast who loves tinkering with new hardware and software.

Go Pack Go

Music Nerd

Tech Enthusiast