Adelbert Chang is a Principal Engineer at OctoML where he works on systems for optimizing deep learning models. Previously he worked at U.C. Santa Barbara doing research in large-scale graph querying and modeling, and in industry on machine learning systems, rule engines, deployment infrastructure, and caching layers. He is an active open source contributor, speaker, and writer for projects spanning the areas of functional programming, type systems, graph analysis, tooling, and infrastructure. He received his Computer Science degree through the College of Creative Studies at U.C. Santa Barbara in 2014.