Matthew Kramer
Principal Software Engineer at Anaconda, Inc.
Houston, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolMatthew Kramer is a Principal Software Engineer based in Houston with a decade of experience bridging computational science and scalable software, currently architecting Anaconda's AI platform. Trained as a naval architect with a PhD in Naval Architecture & Marine Engineering from the University of Michigan, he began his career applying CFD and marine hydrodynamics to offshore energy before pivoting into digitization and developer tooling. At Anaconda he progressed from senior to principal roles, contributing to build and release automation for widely used conda-forge staged-recipes and enabling cross-platform CI/CD for scientific packages like REEF3D. He combines domain expertise in physics-based simulation with practical product ownership from his time at Chevron, where he led surface data and riser engineering efforts. Known for translating complex engineering models into reproducible, production-grade software, he brings a rare mix of deep research pedigree and hands-on DevOps experience.
10 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Naval Architecture and Marine Engineering, Doctor of Philosophy (Ph.D.), Naval Architecture and Marine Engineering at University of Michigan
Github Skills (12)
sh10
automation10
script10
build-system10
automations10
shell10
scripting10
cicd10
dockers9
docker9
makefile8
python7
Programming languages (8)
Github contributions (5)
conda-forge/staged-recipes
Mar 2022 - Apr 2025
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
Role in this project:
Automation Engineer / Build & Release Engineer
Automation Engineer / Build & Release EngineerContributions:16 reviews, 3 PRs, 26 comments in 3 years 1 month
Contributions summary:Matthew primarily focused on setting up and configuring build processes for conda recipes. They added recipes for new software, including `REEF3D` and `divemesh`, creating the build scripts and dependencies required. They also made changes to the CI/CD configuration files, including build steps for Windows and macOS, and adjusted the build process for different platforms using Docker. Furthermore, the user worked on integrating patches and build arguments for the recipes.
placeconda-forgerecipescondasubmit
anaconda/anaconda-cli-base
Nov 2024 - Apr 2025
Contributions:2 releases, 39 reviews, 26 PRs in 5 months
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