Summary
Anthony Buonomo is a Senior Data Scientist with nine years of experience building and deploying ML-enabled services at scale, blending applied research and production engineering across NASA, Johns Hopkins APL, and startups. He specializes in NLP, generative AI, and cloud-native deployments (Docker, Kubernetes, AWS, FastAPI) and has turned complex scientific literature into actionable tools—e.g., pipelines for semi-automatic data retrieval and zero-shot paper classification used in heliophysics research. As a founder he shipped an AI-powered storytelling app to the App Store, demonstrating end-to-end productship from React Native front end to Django back end. At SAIC and NASA he scaled keyword-tagging and ontology-construction systems that are now being adopted across agencies, and at JHU APL he built anomaly-detection analytics for pandemic monitoring. He holds an MPhil in Machine Learning from Cambridge and pairs rigorous academic training with a knack for translating technical advances into practical, domain-focused solutions. An unusual thread through his career is combining deep technical work with clear communication and even grassroots initiatives—like founding meditation groups—reflecting leadership that spans code, collaboration, and culture.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Science (BS) Mathematics Chinese, Bachelor of Science (BS) Mathematics Chinese at Georgetown University
Master of Philosophy - MPhil Machine Learning and Machine Intelligence, Master of Philosophy - MPhil Machine Learning and Machine Intelligence at University of Cambridge
La Salle College High School
Chinese