Jesse Roland is a Senior Machine Learning Engineer with 11 years of experience building practical, production-ready AI systems and research prototypes. He has led applied research and engineering at Thomson Reuters—bringing generative AI into legal and tax products like Cocounsel and Checkpoint—and transitioned from research roles at SIFT where he worked on DARPA-backed projects in influence campaigns and human-network evaluation. Based in Saint Paul, he combines systems-level engineering (Linux administration and software engineering early in his career) with ML research rigor to move models from prototype to deployed product. Known for making "data good looking and useful," he blends applied ML, sensemaking, and product-focused delivery across regulated domains.
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Jesse Roland - Senior Machine Learning Engineer at AKASA