Software Engineer & ML Researcher · Boston, MA
B.S. Computer Science + Mathematics Minor · University of Rochester '25 · Cum Laude, GPA 3.87 · Phi Beta Kappa
New grad SWE with a focus on full-stack development and applied ML. I spent most of college doing both AI image detection research (published at IEEE BigData 2023) and proving complexity results in computational social choice through an NSF REU. On the side I built tools, apps, and games with my friends, one of which has 200+ active users.
Currently doing freelance web dev, and leading a small team building educational and narrative-driven games in Godot and Unreal Engine 5.
URaBot — Chrome extension that detects bot-generated content on Twitter and Bluesky using a fine-tuned DeBERTa V3 model. 85% accuracy, 0.79 F1, trained on 37k+ tweets.
Rifting Wrapped · riftingwrapped.com — Full-stack League of Legends stats visualizer. 200+ active users, Riot-approved, with automated scraping pipelines via GitHub Actions. Built with React, Flask, and MongoDB.
AI-Generated Image Classifiers — Novel CFA interpolation-based classifiers for detecting AI-generated images, achieving higher-than-human accuracy without deep learning. Published at IEEE BigData 2023.
Under Pressure — 3D game built in Godot. Won 1st place and Best Overall at U of R's DandyHacks 2025.
Investigating the Effectiveness of Deep Learning and CFA Interpolation Based Classifiers on Identifying AIGC
Michael Reidy, Henry Mallon, Jiebo Luo · IEEE BigData 2023
Designed novel CFA-based classifiers for AI-generated image detection. Fine-tuned 3 CNNs achieving 81.3% accuracy on 2,800 images, outperforming human benchmarks.
Open to new grad SWE roles — feel free to reach out.