Summary
Nicholas Chapman is a Research Technology Developer with a decade of experience building scalable, data-intensive systems across research and enterprise environments. He has driven petabyte-scale data mining and low-latency serving at Google, built realtime ingestion platforms for millions of medical wearables at Verily, and implemented high-throughput visualization and testing systems for autonomous-vehicle teams. Trained in both physics and computer science at Georgetown, he blends strong systems programming (Microsoft C++, Python) with a research mindset for novel ML and graph-based solutions. Comfortable operating at the intersection of production engineering and academic research, he often translates complex scientific problems into reliable, production-grade infrastructure. Based in Boston with international ties to the UK, he combines hands-on technical delivery with measurable business impact from startup to global-scale teams.
11 years of coding experience
12 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Georgetown University
English, French