Daniel Saromo-mori is a mechatronics engineer and AI researcher turned educator with eight years of experience teaching and developing applied machine learning, robotics, and data science curricula across academia and government. He invented the Auto-Rotating Perceptrons (ARP) and Auto-Rotating Neural Networks (ARNN), work that earned oral presentations at international conferences in six countries and over 200 citations on Google Scholar. Daniel blends hands-on robot learning with industry-facing AI work—currently pursuing an MSc in Cybernetics and Robotics in Prague while collaborating with Siemens on IT/OT integration and machine data analytics. As co-founder and Chief Academic Officer of AEDITIP, he designs practical AI courses and has delivered specialized training for institutions like Peru’s national meteorological service and public healthcare agency. Unusually for an academic-instructor, he has run experiments on DFKI GPU clusters and translated research prototypes into teaching modules and industry projects.
7 years of coding experience
5 years of employment as a software developer
Pytorch Scholarship Challenge, Deep Learning with Pytorch, Pytorch Scholarship Challenge, Deep Learning with Pytorch at Udacity
Engineer's degree (Ing.), Mechatronics Engineering, Engineer's degree (Ing.), Mechatronics Engineering at Pontificia Universidad Católica del Perú
Hasso Plattner Institute
Master of Science (M.Sc.), Cybernetics and Robotics, Master of Science (M.Sc.), Cybernetics and Robotics at Faculty of Electrical Engineering, Czech Technical University in Prague
Master of Science (M.Sc.), Automation and Control Engineering, Master of Science (M.Sc.), Automation and Control Engineering at Politecnico di Milano
Exchange Semester, Exchange Semester at Univerzita Karlova
Specialization, Artificial Intelligence, Specialization, Artificial Intelligence at prg.ai Minor
Contributions:1 PR, 5 pushes, 1 branch in 3 years 5 months
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