João Camacho
Machine Learning Engineer at VisionSpace
Porto, Portugal
Summary
👤
Senior🎓
Top SchoolJoão Camacho is a machine learning engineer with nine years of experience applying advanced statistical and computational methods to astrophysical data and production ML systems. He holds a PhD in Astronomy and a Master's in Mathematical Engineering from Universidade do Porto, where his research focused on Gaussian processes and statistical techniques for exoplanet detection. Comfortable across Python, Julia, Ruby, C++, R and MATLAB, he bridges academic rigor with pragmatic engineering—having moved from doctoral research and co-authored astronomy papers to industry roles at BrandDelta and VisionSpace. Known for extracting subtle signals from noisy datasets, he combines probabilistic modeling and signal-processing expertise to deliver robust, interpretable models. Based in Porto, João maintains an active GitHub presence that chronicles his transition from research code to production-focused machine learning.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Astronomy, Doctor of Philosophy - PhD, Astronomy at Universidade do Porto
Portuguese, English
Github Skills (23)
bayesian-statistics9
gaussian-processes9
pure-python9
bayesian9
gaussian9
monte-carlo8
gps8
spectrum8
spectra8
cosmology7
astronomy7
python7
bayesian-inference7
cpp7
time-series6
Programming languages (4)
Github contributions (5)
jdavidrcamacho/gprn
Sep 2018 - Aug 2021
Contributions:237 pushes, 3 comments, 4 issues in 2 years 11 months
jdavidrcamacho/justTESSit
May 2019 - Jan 2020
Small package to check if a given star is going to be observed with TESS
Contributions:25 commits, 1 PR, 19 pushes in 8 months
tesspython
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