Summary
Hannah Martinez is an Associate Technical Staff II at Johns Hopkins APL with nine years of experience building full-stack web applications and large-scale data pipelines for scientific and defense domains. She specializes in software that helps scientists store, visualize, and analyze petabyte-scale neuroscience and neuroimaging datasets, and has operationalized RAG workflows with LLM experts for military use. Her background includes rotational exposure across cyber situational awareness, genomics, spacecraft communications, and visualization work for NASA's Deep Space Network, giving her a rare cross-domain fluency. Comfortable across front-end, back-end, and real-time processing stacks, she also contributes to open-source projects and research-focused tooling. Hannah holds a BS in Computer Science from Texas A&M and is completing an MS in Computer Science at Johns Hopkins, blending applied engineering with academic rigor. Colleagues describe her as a pragmatic engineer who translates complex scientific needs into usable, production-ready software.
9 years of coding experience
4 years of employment as a software developer
Johns Hopkins University
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Texas A&M University
Arab Academy for Science, Technology and Maritime Transport