Neal Digre is a Senior Machine Learning Engineer with nine years of experience building production ML systems across e-commerce, finance, and ecology, currently advancing ML efforts at PitchBook. He combines deep learning, NLP (including LLMs), and reinforcement learning with strong data engineering skills to ship scalable models and transform large, messy datasets into business impact. As part of the XPRIZE-winning Limelight Rainforest team he led bioacoustic CNN pipelines and helped deploy drone-enabled monitoring platforms, demonstrating a knack for applying ML to conservation problems. Neal mentors engineers, presents insights to diverse stakeholders in accessible ways, and has a track record of replacing manual workflows with automated LLM-driven solutions that boosted client revenue. Grounded in MSc Informatics and dual bachelor's in Computer Science and Linguistics, he emphasizes ethical data practices, DEI, and building AI that serves people and the planet.
9 years of coding experience
9 years of employment as a software developer
Master of Science (MSc) Informatics, Master of Science (MSc) Informatics at The University of Edinburgh
University of Oslo
Bachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at Western Washington University
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Neal Digre - Senior Machine Learning Engineer at PitchBook