Summary
Justin Ellis is a Lead Engineer with 12 years of experience building AI-driven products at the intersection of DevOps, machine learning, and web development, now leading engineering at Bionic Health. He has a track record of shipping production ML systems and multi-cloud document-processing platforms, combining backend, infrastructure, and model deployment expertise (Kubernetes, Terraform, FastAPI, Airflow). Formerly a principal data scientist and astrophysicist, he led NANOGrav’s gravitational-wave detection efforts at Caltech/JPL and translated rigorous Bayesian inference skills into robust ML solutions for enterprise clients. Known for fostering curiosity and continuous learning, he blends hands-on coding with customer-facing integration work and a pragmatic focus on testing, CI/CD, and scalable architectures. An unusual strength is his ability to move techniques from cutting-edge research into reliable, audited production pipelines that solve real-world business and healthcare problems.
12 years of coding experience
11 years of employment as a software developer
Bachelor’s Degree, Astronomy and Astrophysics, Bachelor’s Degree, Astronomy and Astrophysics at West Virginia University
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of Wisconsin-Milwaukee
California Institute of Technology