Summary
Anthony Buonomo is a Senior Data Scientist with nine years of experience designing and deploying machine learning services at scale, currently applying data-driven approaches at NASA Goddard Space Flight Center. He specializes in NLP, scalable pipelines, and cloud-native deployment (Docker, AWS, Kubernetes), and translates complex technical concepts for non-technical stakeholders. His work spans zero-shot paper identification with LLMs, human-in-the-loop data sourcing, anomaly detection for COVID dashboards, and dynamic topic modeling across biology and space science literature, often end-to-end with Django/React front-ends and FastAPI services. He has led cross-disciplinary teams, mentored colleagues, and earned recognition from the US Federal Data Strategy for automating NASA keyword tagging and ontology construction initiatives. An MPhil in Machine Learning and Machine Intelligence from the University of Cambridge complements his hands-on programming with strong theoretical grounding, and he brings a reputation for turning difficult problems into practical, auditable solutions. Based in Washington, DC, he thrives on exploring challenging data problems at the intersection of science and government, delivering scalable ML products that accelerate research.
9 years of coding experience
4 years of employment as a software developer
Master of Philosophy - MPhil Machine Learning and Machine Intelligence, Master of Philosophy - MPhil Machine Learning and Machine Intelligence at University of Cambridge
Chinese