Pablo Elias is a senior software engineer based in Rio de Janeiro with 11+ years building large-scale scientific and ML-enabled systems for energy, robotics, and apparel industries. He blends low-level expertise in C/C++ and GPU shaders with production cloud ML services in Python, Faiss, and Kubernetes, having engineered billion-vector similarity search and model-serving platforms. His background spans real-time 3D graphics, computer vision and computational geometry for clients like Petrobras, GE and Woven by Toyota, plus practical experience migrating CPU rendering to GPU for substantial performance gains. With advanced academic training in computer vision and pure mathematics, he brings rigorous algorithmic thinking to engineering problems and a track record of turning research prototypes into deployable, high-performance software.
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