Summary
Jackson Gibbs is a seasoned software engineer with over two decades of experience building reliable, high-performance systems and a 13-year focused track record in data-driven engineering. He designs and operates large-scale data collection, streaming, and ML training pipelines—building infrastructure and CI/CD systems that have endured for years. His background spans embedded and enterprise contexts, from high-throughput messaging and sensor-data platforms to simulation and automation for safety-critical systems. A lifelong learner, he earned an MCS in Data Analytics while working full time and recently used a sabbatical to deepen practical skills in Python pipelines and applied ML. Based in Eugene, Oregon, he combines hands-on implementation with team leadership and a pragmatic focus on automation, validation, and observability that reduces retraining and improves model quality.
13 years of coding experience
4 years of employment as a software developer
Computer Science, Computer Science at University of Oregon
Master's degree Computer Science, Master's degree Computer Science at University of Illinois Urbana-Champaign