Keto Z is a software engineer and research software developer with a decade of experience building cloud-native data pipelines and scientific tooling, currently contributing to the NASA Roman Space Telescope at Caltech/IPAC. They blend astrophysics and data science expertise—developing time-series pipelines for exoplanet microlensing, Airflow-on-Kubernetes data processing (Data-on-EKS), and multi-account AWS DevOps—to turn complex astronomical data into reproducible research products. Prior roles include building Python-based emissions estimation pipelines using remote sensing at WattTime and designing a MySQL-backed photometry database that served multimessenger astronomy and published data releases at UC Berkeley. Keto pairs hands-on full-stack and DevOps skills with a researcher's rigor, producing shareable Jupyter notebook analyses and tooling used in real observing campaigns. Based in Pasadena, they are pursuing advanced study in data science and bring a rare combination of telescope-observing experience and production-grade engineering.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Arts - BA, Astrophysics, Data Science, Bachelor of Arts - BA, Astrophysics, Data Science at University of California, Berkeley
Master's Degree, Data Science, Master's Degree, Data Science at The University of Texas at Austin
Contributions:13 releases, 127 pushes, 17 branches in 2 years 5 months
modellingpythonmicrolensing
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