Xavier Boluna
Machine Learning Engineer at Neatleaf
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolXavier Boluna is a Machine Learning Engineer with a physics MSc and 11 years of technical experience, currently applying AI to agriculture at Neatleaf in the San Francisco Bay Area. He pairs rigorous research chops—two published papers and multi-year roles at Stanford and UCSC working on Bayesian analysis, X-ray/ gamma-ray datasets, and black hole simulation—with practical engineering: building data ingestion pipelines and ML tooling like enhancements to the ThreeML package. Comfortable moving models from research into production, he has experience designing data infrastructure for novel 4D scientific instrumentation and tuning simulators on noisy, incomplete datasets. Notably, his background blends experimental astrophysics and applied ML, giving him an unusual edge in translating complex scientific signals into deployable AI solutions.
11 years of coding experience
5 years of employment as a software developer
University of California Santa CruzSequoia High School
English, Spanish, Catalan
Github Skills (19)
astronomy9
python9
xspec9
deep-learning8
gpu8
machine-learning8
spectral8
modeling-tool8
cosmology7
spatial6
neural-network6
astrology6
tensorflow6
numpy5
astrophysics5
Programming languages (2)
Github contributions (5)
xboluna/threeML
Jun 2020 - Feb 2023
The Multi-Mission Maximum Likelihood framework (3ML)
Contributions:2 PRs, 24 pushes, 8 branches in 2 years 7 months
maximumpythonmaximum-likelihood3mllikelihood
xboluna/EBL_attenuation
Aug 2020 - Feb 2023
Contributions:2 PRs, 6 pushes in 2 years 6 months
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