Summary
Donald Pazel is a principal technologist and independent consultant with a career spanning research and production engineering across distributed systems, NLP, and large-scale data processing. He blends four decades of deep technical foundation with recent hands-on work in intelligent systems, computer music representation, and cloud-based Hadoop/EMR workflows. Past roles at IBM, Google, Joost, Tremor, Adconion, and Thomson Reuters show a track record of building recommendation engines, workflow and monitoring systems, and robust semantic NLP for specialized domains. He routinely translates research-grade ideas into production pipelines, contributing open-source improvements (e.g., Azkaban) and bespoke integration test frameworks. Based in Fishkill, NY, he remains active post-retirement and is open to part- or full-time consulting engagements as a computer scientist or data engineer. An unconventional detail: he combines formal mathematics training (M.S., University of Virginia) with a persistent interest in the arts, applying computational methods to music and creative projects.
9 years of coding experience
3 years of employment as a software developer
B.S., Mathematics, B.S., Mathematics at La Salle University
M.S., Mathematics, M.S., Mathematics at University of Virginia