Summary
Chase Duncan is a Staff Software Engineer with 11 years of experience specializing in ML/AI, particularly NLP and computer vision, and a strong track record of turning research into production systems. He built and deployed a deep learning pipeline for glioma segmentation used in 3D presurgical planning and led data collection with hospital partners, demonstrating both technical depth and domain collaboration. Earlier work includes engineering Java-based grounding systems for low-resource languages presented at DARPA Demo Days and shipping multi-exchange arbitrage strategies during an internship at a high-frequency trading firm. Based in Apex, NC, he combines academic rigor from UIUC with hands-on product delivery, often bridging research, data privacy, and deployable ML infrastructure. An understated strength is his ability to coordinate cross-disciplinary teams—clinicians, students, and engineers—to create practical datasets and pipelines that meet real-world constraints.
11 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Illinois Urbana-Champaign