Samuel Marks, PhD is a Research Fellow at the Harvard Medical School. Aiming to facilitate mass-screening for blinding eye diseases, he has developed inexpensive medical devices and automated diagnostic tools (AI). All devices will be distributed at his own expense, with device blueprints, software, and data open-sourced and in the public domain; funded via his [unrelated to medicine] software-engineering consultancy.

His recent work involved creating from-scratch new DevOps / GitOps / MLOps tooling with optional Docker, supporting: native Windows, Linux, macOS, SunOS, HP/UX, z/OS, iOS, and Android. This was written in shell (Bourne Shell, Bash, Windows Batch, Microsoft PowerShell); complemented by new package managers in C, Go, and Rust. In his spare time he writes new C, Rust, Swift, Kotlin, Java, Python, and TypeScript compilers.

Active on GitHub, he has >800 repos; constituting >500 forks—including being a top-contributor to Keras and the only non-Google maintainer of large-scale JAX LLM reference MaxText—and currently holds a >1024 day contribution streak.