Summary
Ted Stern is a seasoned software and computational scientist with 14+ years of experience (and a deep engineering pedigree dating back to Cray and Boeing) who now splits time between Malta and remote roles, leading a stealth AI startup while consulting on embedded security. He specializes in high-performance computing, distributed systems, and production-grade optimization—having driven HPC benchmarking at Google, built scalable cloud search and compression systems at red violet, and improved Azure DNS rescue tooling at Microsoft. Ted combines low-level expertise (C++, Fortran, embedded/Unix toolchains) with practical cloud-native design, delivering performance wins like multi-fold storage and query-speed improvements. He holds a PhD in Applied Mathematics and a UW Python certificate, reflecting both rigorous theory and modern software practice. An understated strength is his track record of translating legacy scientific codes into reproducible, scalable workflows (e.g., contributions to Ramble/Spack ecosystems) that bridge research and production.
15 years of coding experience
32 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Applied Mathematics, Doctor of Philosophy (Ph.D.) Applied Mathematics at University of Washington
Master's Degree Mathematics, Master's Degree Mathematics at New York University
Python Certificate Program Computer Programming, Python Certificate Program Computer Programming at University of Washington Professional and Continuing Education program
B.A. Physics, B.A. Physics at Reed College
Spanish, Russian, Hebrew, Esperanto