Summary
Tristan Hillis is a Lead Software Engineer in San Diego with 10 years of experience translating scientific problems into robust software and DevOps practices. Trained in Astronomy and Physics (UW) and holding an MS in Computational Science with a Data Science emphasis, he began as a researcher and evolved into a full-stack developer and technical architect at NanoImaging Services and Sandia National Laboratories. He leads modernization efforts across legacy Python and LAMP systems, builds CI/CD pipelines with GitHub Actions and Docker, and bridges science, QA, regulatory, and operations to deliver practical, auditable solutions. Notably, he implemented a novel R-based random-forest matching extension for handling missing data during graduate work and has hands-on experience integrating LIMS and CRM systems as well as MERN-based reporting stacks. Practical, curious, and comfortable explaining trade-offs to non-technical stakeholders, he focuses on sustainable refactors that accelerate delivery while preserving scientific workflows.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.S.), Astronomy and Physics, 3.51/4.0, Bachelor of Science (B.S.), Astronomy and Physics, 3.51/4.0 at University of Washington
Associate of Arts and Sciences, 3.46/4.0, Associate of Arts and Sciences, 3.46/4.0 at Everett Community College
Master's degree, Computational Science - Data Science Emphasis, N/A, Master's degree, Computational Science - Data Science Emphasis, N/A at San Diego State University