Taher Chegini is a Solutions Architect and hydrology-focused Python developer with 11 years of experience bridging numerical fluid simulation research and production software. He holds a PhD in Civil Engineering from the University of Houston and has translated academic expertise in CFD and climate-relevant modeling into practical tooling, data visualization, and web services. Taher’s open-source and DevOps work on conda-forge build and CI pipelines demonstrates a knack for automation and cross-platform builds that reliably deliver scientific packages like scifem and kornia-rs. Having taught engineering, animation, and VFX, he brings a rare blend of rigorous numerical methods, creative visualization skills, and teaching experience to systems architecture. Now based in West Lafayette and working at Dewberry, he focuses on turning complex environmental models into maintainable, deployable solutions that advance climate and hydrology analysis.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD), Civil Engineering, Doctor of Philosophy (PhD), Civil Engineering at University of Houston
Master's degree, Hydraulics Engineering, Master's degree, Hydraulics Engineering at K. N. Toosi University of Technology
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
Role in this project:
DevOps Engineer & Build Engineer
Contributions:12 reviews, 23 commits, 24 PRs in 1 month
Contributions summary:Taher primarily focused on integrating and updating build processes for conda-forge recipes. They made changes to the build scripts for multiple recipes, including `pytorch_tabular`, `simplification`, `surelog`, `kornia-rs`, `typst-lsp`, and `scifem`, updating how they build and install dependencies. They modified build scripts, and CI/CD configuration files, which implies a strong focus on automation and ensuring successful builds across different platforms. They also updated various build and deployment configurations.
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