I'm a Googler working on proactive cybersecurity consulting with the Mandiant team. I also am interested in AI research and safety, specifically in LLMs as agents and multimodal learning.
I am seeking projects and work in these areas. If you would like to collaborate with me on a project, message me below!
An adversary emulation framework with special features including use of a messaging app as a communication channel, a hybrid encryption scheme, and shell code injection. The implant is served by a containerized listening server, MySQL database, and Flask app.
Visit Readme
A vision transformer based machine learning pipeline built to classify plant specimens and organize records, built for the Harvard Herbarium & BU Spark!. The pipeline is composed of an ensamble of fine-tuned OCR and NER models along with a ViT plant classifier to pick correct classifications in the correct context.
Visit RepoResearch paper on a model that predicts text prompts from generated images using an ensemble of multimodal models, including CLIP, BLIP, and ViT. Uses a high-quality dataset and of 100k custom generated images, cleaned to have low semantic similarity.
View Paper
Deep learning project and paper to forecast world events outside of the training data using large language models (LLMs) including GPT-3, GPT-3.5, and GPT-4. Prompt engineering techniques including few-shot learning, inference averaging, and others are employed to increase accuracy.
View PaperDeep learning project to create a model that finds similar videos using a dataset of 1000s of videos. Scored 8th place of 212 participants in Meta AI’s Video Similarity Challenge in the more difficult "matching" track.
See Leaderboard
Tail-recursive interpreter designed to parse, push, and execute 12 unique commands on a custom made stack. Compiler implemented to compile a traditional programming language into custom-built stack language.
Visit Repo