Andrew Seidl is a Principal Engineer, AI/ML Infrastructure at Vultr with 14 years of experience building high-performance, production-grade compute and storage systems. He blends hardware-aware performance engineering and build/CI expertise—authoring GPU and CPU compute kernels (cuDF, Velox), rearchitecting engines for CPU-only execution, and improving tiered storage for distributed analytics. An active open-source contributor, he has optimized backend code in heavyai/heavydb (adding custom S3 endpoints, multi-format import support, Thrift authentication, sanitizers and Ubuntu 20.04 compatibility) and improved build automation for projectchrono with CDash and auto-versioning. His research background includes porting simulation stacks to C++, CUDA and Julia and delivering a 125x CPU speedup for real-time terrain deformation, showing a rare ability to turn research performance gains into production systems. Based in Oconomowoc, WI, Andrew pairs a mechanical engineering graduate education with deep systems and DevOps instincts, managing GPU clusters, CI pipelines, and complex releases to scale ML infrastructure.
15 years of coding experience
14 years of employment as a software developer
University of Wisconsin-Madison
Maschinenbau (Mechanical Engineering), Maschinenbau (Mechanical Engineering) at Fachhochschule Lübeck
Bachelor of Science (BS), Mechanical Engineering, Bachelor of Science (BS), Mechanical Engineering at Milwaukee School of Engineering
Contributions:1140 commits, 56 PRs, 517 pushes in 7 years 3 months
Contributions summary:Andrew primarily worked on optimizing and refactoring code for the heavyai/heavydb repository. They improved type checking with Boost libraries, added support for Google Test within the project structure, and integrated new functionalities related to data import, by adding features such as including custom s3 endpoints, as well as supporting a number of different file formats. Additionally, they contributed to enhancements within the Thrift interface, ensuring that certain methods were now authenticated. They were also involved in configuring features related to the codebase such as the use of code sanitization and added support for Ubuntu 20.04.
High-performance C++ library for multiphysics and multibody dynamics simulations
Role in this project:
Back-end Developer & Build Automation Engineer
Contributions:110 commits, 12 PRs, 63 pushes in 6 years 1 month
Contributions summary:Andrew primarily focused on improving the build process and fixing compilation issues. They addressed system-specific compilation problems by modifying preprocessor directives and include statements. Additionally, the user added support for CDash and auto-generated version information, demonstrating a focus on build automation and continuous integration. They also corrected code formatting, updated documentation, and fixed a memory leak.
c-plus-plussimulationroboticssimulationsmultibody
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