Stephan Gelever is a software engineer with nine years' experience designing and operating large-scale distributed systems, currently building secure, high-performance authorization services at Atlassian. He has a strong track record at AWS automating region builds, designing asynchronous workflows, and shipping public APIs that scale to millions of customers, alongside mentoring dozens of junior engineers. Deeply proficient in C++ and systems-level engineering from his work at Lawrence Livermore and open-source contributions to the widely used MFEM finite element library, he focuses on reliability, memory safety, and performance. Pragmatic and cost-conscious, Stephan has driven significant operational efficiencies (including a 75% S3 cost reduction and 80% latency/availability improvements) and reduced on-call noise through targeted monitoring and CI/CD improvements. Based in the Charlotte metro area, he pairs research-grade numerical and HPC experience with hands-on production engineering across cloud-native and embedded high-performance contexts.
9 years of coding experience
7 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Portland State University
Lightweight, general, scalable C++ library for finite element methods
Role in this project:
Back-end Developer
Contributions:16 commits, 12 PRs, 7 pushes in 6 months
Contributions summary:Stephan primarily focused on fixing memory management issues and improving the stability of the MFEM library. Their work involved identifying and resolving segfaults related to memory allocation and deallocation in core data structures such as `DenseMatrixEigensystem`, `DenseTensor`, and `SparseMatrix`. The user also addressed memory leaks in the mesh reading and printing functionalities, leading to improved software reliability and a reduced risk of crashes. Furthermore, they made const correctness fixes to enhance code quality and maintainability.
Contributions:51 PRs, 233 pushes, 60 branches in 11 months
laplaciansolversupscalinggraph-laplaciangraph
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.