Summary
Peter Lane is a Lead Software Engineer with nine years of recent industry experience and a long history of research-driven engineering spanning IoT, lab instrumentation, and distributed systems. He architects cloud-native data platforms and event-driven workflows in AWS and Kubernetes, and has built ETL and analysis pipelines in Python, Java, and Kotlin for organizations including the American Medical Association and Bank of America. Comfortable at the hardware–software boundary, he has designed sensor DAQ systems, automated laser-tracker measurements, and led edge-device deployments for urban sensing projects. He mentors junior engineers, owns CI/CD and infrastructure-as-code standards, and has reinvented workflow orchestration with a DAG engine inspired by Airflow. Based in Franklin Park, IL, he pairs rigorous scientific training (PhD-level physics work) with pragmatic production engineering. Outside work he’s equally likely to be debugging embedded systems or belaying at the climbing gym while recharging with an episode of Nova.
9 years of coding experience
19 years of employment as a software developer
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at Illinois Institute of Technology
B.S., Computer Science, B.S., Computer Science at Northern Illinois University
University of New Mexico-Gallup Campus
Physics, Physics at University of Chicago