Leland Boeman
Software Engineer at University of Arizona
Tucson, Arizona, United States
Summary
👤
Senior🎓
Top SchoolLeland Boeman is a software engineer with nine years’ experience building cloud-native, Python- and JavaScript-driven systems for renewable energy forecasting and environmental science. Based in Tucson and working at the University of Arizona, he deploys and manages Docker and Kubernetes stacks, backs REST APIs and data pipelines with Python, and crafts interactive frontends with JS/Vue. His contributions to pvlib-python — notably data readers for SRML, SURFRAD, and MIDC — help make diverse solar datasets usable for researchers and operators. He prefers applying compute to improve human life rather than ad-driven products, and he blends research collaboration (including DOE-funded projects) with production-grade infrastructure and developer enablement.
9 years of coding experience
1 year of employment as a software developer
The University of Arizona
Github Skills (10)
pandas10
data-parsing10
python10
data-analysis10
testing9
fileio9
file-access9
file-handling9
file-processing9
documentation8
Programming languages (7)
Github contributions (5)
pvlib/pvlib-python
Oct 2018 - May 2019
A set of documented functions for simulating the performance of photovoltaic energy systems.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 commits, 3 PRs, 23 comments in 7 months
Contributions summary:Leland primarily contributed to the implementation of data readers for the pvlib-python library, focusing on importing data from various sources like SRML, SURFRAD, and MIDC. Their work involved writing code to parse data files, format the data, and integrate it into the existing pvlib framework. The user's contributions also include testing, documentation, and updates to the API, improving the library's ability to handle diverse solar energy datasets.
pythonsolar-energyenergy-systemsrenewablesphotovoltaic
UARENForecasting/ESPRR
Apr 2021 - Aug 2022
Expected Solar Performance and Ramp Rate tool
Contributions:5 reviews, 110 commits, 41 PRs in 1 year 3 months
performancerampsolar
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