SWE @ Fora Travel · NYC

B.S. Computer Science + Mathematics Minor · U of R '25 · Phi Beta Kappa

Full-stack engineer with a background in applied ML. In college I researched AI-generated image detection (published at IEEE BigData 2023) and complexity results in computational social choice through an NSF REU. Outside of work I build apps and games with friends.

Rifting Wrapped · riftingwrapped.com — Full-stack League of Legends stats visualizer. 600+ active users, Riot-approved, with automated scraping pipelines via GitHub Actions. React, Flask, and MongoDB.

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.

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 Godot game, 1st place and Best Overall at 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.