Summary
Renan Souza is a Senior Staff Research Scientist specializing in building large-scale AI and data platforms that span Edge, Cloud, and HPC environments, with over a decade of experience turning scientific requirements into production-ready systems. Based at Oak Ridge National Laboratory, he leads technical design and PI-level projects focused on observability, provenance, data integration, and LLM-driven agentic workflows to enable low-latency, reproducible execution at scale. Formerly a research lead at IBM, he has delivered hybrid cloud and cluster solutions across energy, finance, physics, and cheminformatics, blending hands-on development with architecture and DevOps. He holds a Ph.D. in Computer Science and maintains an active research profile with publications and talks (see RenanSouza.org), reflecting a rare mix of deep academic grounding and practical systems engineering. Notably, his work emphasizes end-to-end observability and provenance to make complex AI workflows auditable and reliable in heterogeneous production environments.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science (Data and Knowledge Engineering), Doctor of Philosophy (Ph.D.), Computer Science (Data and Knowledge Engineering) at Federal University of Rio de Janeiro
Information Technolgy Technician, Computer Science, Information Technolgy Technician, Computer Science at Lemos de Castro
Exchange Student, Computer Science, Exchange Student, Computer Science at Missouri State University
English, Portuguese, Spanish