Hi, I’m Sam Kelemen. I am a Data Engineer at NBKC. I am pasionate about software design, high-performance computing, and data engineering. My favorite languages are C++ and Python. I enjoy building projects that push me technically, from my (market) exchange simulation engine, built with high-performance Modern C++ (C++23); infrastructure for out-of-core machine learning with big data; or custom Neovim plugins, my favorite of which implements syntax highlighting and code navigation with modules (available in C++ 20 and beyond) without needing to compile the code for it to work. My goal is to keep growing as an engineer by tackling challenging problems and working with talented people.

Sam Frank Kelemen, Joaquín Gõni, Sérgio Pequito, Arian Ashourvan. A Linear Generative Framework for Structure–Function Coupling in the Human Brain. Under review at Nature Communications Biology. Preprint: arXiv:2507.06136