Marty Sullivan is a Principal Solutions Architect and AI Platform lead with 11 years of experience building cloud-native ML and DevOps systems at Cornell University. He architected a university-wide AI platform—AI Gateway, AI Agent Studio, and AI Commons—serving 80+ teams and presented it as a blueprint at AWS re:Invent 2025. Marty combines atmospheric science research (PhD candidate) with hands-on engineering, shipping production agents that enabled 40,000+ student interactions and course-integrated tutoring across multiple campuses. He designs multi-cloud, governed LLM integrations and low-code agent tooling so non-technical staff can safely deploy autonomous workflows without engineering support. Outside campus roles he runs AtmoSim LLC, applying satellite and forecast data to custom geospatial products, reflecting a rare blend of domain science and scalable platform delivery.
11 years of coding experience
14 years of employment as a software developer
Bachelor of Science (BS) Information Technology, Bachelor of Science (BS) Information Technology at Rochester Institute of Technology
Doctor of Philosophy - PhD Atmospheric Science, Doctor of Philosophy - PhD Atmospheric Science at Cornell University
Python Routines for retrieving up-to-date forecasts from the National Weather Service (NWS) National Digital Forecasting Database (NDFD)
Contributions:11 releases, 66 commits, 25 pushes in 2 years 1 month
databasepython
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