I'm a computer science student from Southern California studying in Boston. I’m interested in artificial intelligence, security research, and software engineering.
I am currently working at Spark! as a machine learning team lead. In my role, I architect ML projects choosing the ideal model architectures for every problem and ensure teams are making steady progress. Recently, I've been learning about decision transformers and masked autoencoders. See my GitHub for more projects!
I am seeking projects and work in these areas. If you would like to collaborate with me on a project, message me below!
In-progress research paper on continuous learning of resilliance to adversarial attacks in masked autoencoders.
See Proposal
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 fine-tuned and pre-trained OCR and NER models to pick correct classifications in the correct context.
Visit RepoIn-progress deep learning project to create a model that finds similar videos using a dataset of 1000s of videos. Code will be open-sourced upon challenge completion.
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In-progress deep learning project to forecast future world events using a dataset of 1000s of news articles. Code will be open-sourced upon competition completion.
See DetailsAn 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.
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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 RepoEmail: en (at) bu (dot) edu
If you are interested in my work, email me or shoot me a message below!
