Daniel Coelho
Software Engineer at Google
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolDaniel Coelho is a software engineer with nine years of experience building data-driven systems, currently contributing at Google from the San Francisco Bay Area. His background blends production engineering with scientific research—developing detector simulations and statistical analysis tools for neutrino experiments and later building data ingestion pipelines for Google Earth Engine. Comfortable across C++, Python, SQL, and large-scale data workflows, he excels at turning complex scientific and operational problems into reliable, automatable solutions. A lifelong learner drawn to theoretical physics, algorithms and filmmaking, he brings both analytical rigor and creative curiosity to engineering challenges. Colleagues rely on him for clear teaching and mentorship, a habit honed while training researchers and instructing students.
9 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree, Physics, 3.5, Bachelor’s Degree, Physics, 3.5 at UC Davis
English
Github Skills (32)
google-earth-engine9
earth-engine9
api8
gis8
earth8
landsat8
google-earth8
image-processing7
binder7
emacs-lisp7
geopandas7
emacs7
bundle7
ipywidgets7
folium7
Programming languages (5)
Github contributions (5)
WodahsReklaw/TruthSaver
Jun 2016 - Apr 2018
Contributions:7 PRs, 42 pushes, 4 branches in 1 year 9 months
saveriofrancini/C2C-GEE
Dec 2024 - Jan 2025
A google earth engine implementation of the C2C change detection and change metrics calculation algorithm
Contributions:6 releases, 15 PRs, 15 pushes in 21 days
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