Alejandro Solano is a software developer with a decade of experience building applied AI and robotics systems and shipping health-tech products. He blends deep learning and computer vision expertise—developed at Acutronic Robotics and NTT Disruption—with practical Rails development for regulatory-focused digital health at OpenRegulatory. As a co-founder of Cuavi, he pairs product-minded engineering with hands-on implementation, and his background in 6D object detection and ROS2/C++ integration shows a talent for turning research into industrial software. Trained in deep learning (Udacity) and electronics/robotics (Universidad de Málaga), he also completed Harvard Business School Online’s Credential of Readiness, reflecting a strong mix of technical and business acumen. Based in Málaga, Spain, he’s comfortable moving between low-level robotics stacks and web-facing health platforms, aiming to make regulatory and deployment friction nearly invisible. An uncommon strength is his experience generating synthetic data and extending YOLO-style models for 3D estimation—skills that bridge simulation and real-world robotics deployment.
10 years of coding experience
3 years of employment as a software developer
Grado en Ingeniería, Ingeniería electrónica, robótica y mecatrónica, Grado en Ingeniería, Ingeniería electrónica, robótica y mecatrónica at Universidad de Málaga
Deep Learning Foundations Nanodegree, Inteligencia artificial, Deep Learning Foundations Nanodegree, Inteligencia artificial at Udacity
Credential of Readiness (Pre-MBA), Pass with High Honors, Credential of Readiness (Pre-MBA), Pass with High Honors at Harvard Business School Online
Contributions:36 commits, 2 PRs, 14 pushes in 26 days
pythonobject-recognitionflaskrecognitionbuilt-in
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