I’m Dany, a software engineer based in Toulouse with a master’s in Computer Science for Aerospace. What motivates me is turning complex data and algorithms into tools that are reliable and genuinely useful.
My path began in research. At IRIT, I studied decision tree algorithms, built a custom preprocessing method, and compared classification approaches in Python and C++. At CIRIMAT, I developed a parser and a graphical interface that made scientific simulation data easier to explore. I have also analysed Landsat, Pléiades, and Sentinel-2 satellite imagery to measure indicators such as fire severity.
These experiences taught me to understand how a method works, test it rigorously, and explain the results clearly. I work mainly in Python and C++, with Git, Docker, and Linux, and I am comfortable with JavaScript and React when a project calls for it.
I am drawn to aerospace, Earth observation, and scientific computing, where rigor matters and the results have real-world value. I am eager to keep learning and contribute to a team working on these challenges.
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