Stephan Lagerholm is a seasoned software and automation leader with 14 years of experience designing highly reliable, large-scale network and cloud systems. He has led architecture and strategy for datacenter networking, DNS, DHCP and cloud transformation at T‑Mobile and Microsoft, delivering anycasted, BGP-based DNS and automated cloud-scale services that powered top global domains. Now Senior Director at Denali Advanced Integration, he blends hands-on C++ systems work—contributions to libc++/LLVM, MSVC STL and performance tuning libraries like ryu—with executive-level strategy and DevOps transformation. Known for turning complex distributed requirements into operationally efficient platforms, he also brings uncommon depth in low-level standards and cross-compiler portability. Based in Bellevue, WA, he pairs academic rigor (MSc Computer Science, Uppsala) with a track record of shipping resilient infrastructure for telecom and cloud at scale.
14 years of coding experience
19 years of employment as a software developer
MSc, Computer Science, MSc, Computer Science at Uppsala University
MSVC's implementation of the C++ Standard Library.
Role in this project:
Back-end Developer
Contributions:19 releases, 4987 reviews, 343 commits in 3 years 5 months
Contributions summary:Stephan's commits focus on implementing and maintaining features for the C++ Standard Library's implementation. They addressed bugs, added support for new features, and improved code style and conventions. The user's work included modifying core library headers and source files, demonstrating a strong understanding of the codebase and its internal workings.
Converts floating point numbers to decimal strings
Role in this project:
Back-end Developer
Contributions:181 commits, 39 PRs, 54 comments in 1 year 5 months
Contributions summary:Stephan primarily worked on optimizing the `ryu` library, a project focused on converting floating-point numbers to decimal strings. Their contributions involved refactoring the code for better performance on x86 and x64 architectures, including techniques like avoiding 64-bit math where possible. They also focused on fixing compilation warnings and ensuring that the code produced correct decimal string representations, especially in edge cases like zero and small decimal numbers. The user also addressed code quality concerns through consistent indentation and code style.
floatingstringsjavascriptpointprecision
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Stephan Lagerholm - Senior Director Software And Automation Solutions