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.
9 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