Summary
Piper Keyes is an engineering lead and former scientist with 10 years of experience turning complex data problems into reliable production systems. Leveraging a PhD in neuroscience and strong data engineering chops, she designs and builds creative data pipelines and analyses using Golang, Kotlin, Java, and Python backed by Postgres, ArangoDB, S3, and Docker. At Skyflow she advanced from software engineer to engineering lead, consistently shipping pragmatic solutions that improve human outcomes while mentoring teams. Piper thrives on tough technical puzzles and learning new tools, pairing academic rigor with product-focused execution. Her background in neuroscience gives her a rare ability to connect experimental thinking with scalable software design, making her especially effective on data-intensive, privacy-conscious platforms.
10 years of coding experience
4 years of employment as a software developer
Master of Science (M.S.), Biopsychology, Master of Science (M.S.), Biopsychology at University of Michigan - Rackham Graduate School
Bachelor of Science (B.S.), Neuroscience, Bachelor of Science (B.S.), Neuroscience at University of Michigan
Doctor of Philosophy (Ph.D.), Neuroscience, Doctor of Philosophy (Ph.D.), Neuroscience at Stanford University School of Medicine