

For my high school senior capstone, I built and benchmarked deep learning models, including LSTMs and fine-tuned transformers, to detect fake news. I compared their performance against human judgment and found that AI models, especially GPT-4 Turbo, often outperformed people on out-of-distribution news samples. The project revealed both the promise and current limits of AI in combating disinformation.
Read More CodeAs part of Triton UAS, I led the development of a real-time aerial computer vision system for object detection, geo-localization, and large-scale image mapping during fully autonomous drone missions. Our YOLO-based detector, optimized for top-down drone imagery, ran on a Jetson Orin Nano with ONNX acceleration and integrated into a C++ pipeline for GPS-tagged target localization. I also built a robust image stitching module to create high-res maps of the environment mid-flight.
Read More CodeFrustrated by Premiere Pro's lack of native file randomization, I built an extension to streamline the creative process for fast-paced editing. Written in ExtendScript and integrated via Adobe CEP, the tool recursively flattens project bins and inserts randomized media clips with precise timing logic. No more manual renaming or external scripts! With over 7000 downloads and a 4.9-star rating, it's still helping editors simplify their creative workflow years later.
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