Jesus Ojeda is a senior software developer blending research rigor with hands-on engineering across AI, graphics, and real-time systems. Currently at Chaos, he builds scalable software, drawing on a decade of experience in GPU programming, computer graphics, and machine learning. He has led AI and imaging projects at Universitat de Lleida, including crop classification and satellite imaging workflows, and created Docker tooling for ESA Copernicus data processing. His background includes a PhD in Computer Science from UPC focused on real-time fluid simulation with CUDA and OpenGL, and a Master in Open Source; he also earned a Master’s in Supply Chain Management, highlighting a practical, optimization-oriented approach. Previously, he contributed to medical imaging and sports analytics projects at Galgo Medical and Mediacoach, and has served as an adjunct professor and teaching assistant in AI and graphics. Based in Lleida, Spain, he combines academic depth with industry momentum to translate complex research into real-world, scalable solutions.
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