Rafael Ortega

Rafael holds a B.Eng. in Mechatronics from Tecnológico de Monterrey and an M.S. in Robotics from Carnegie Mellon. He cut his teeth building perception pipelines for mobile robots in cluttered warehouses, tuning sensor fusion and debugging time-sync issues the hard way. Later, as an edge-AI consultant, he helped factories deploy real-time models on modest hardware, balancing accuracy with latency and power budgets. His writing brings that shop-floor pragmatism to topics like robotics safety, MLOps for embedded devices, and responsible automation. Expect diagrams, honest trade-offs, and “we tried this and it failed—here’s why” energy. Rafael mentors robotics clubs, contributes to open-source tooling for dataset versioning, and speaks about the human implications of automation for line operators. When he’s offline, he roasts coffee, calibrates a temperamental 3D printer, and logs trail-running miles with friends who tolerate his sensor jokes.