Eleazar Olivas Gaspar is a Robotics Engineer and Team Lead driving innovation in autonomous systems, machine learning, and embedded robotics. At Manchester Robotics, he spearheaded the development of an autonomous mobile robot with 95% SLAM localization accuracy, integrating Kalman filtering, motion planning, and custom PID controllers that reduced odometry drift by 40%. His expertise in deep learning produced a CNN model with 98.76% accuracy for real-time traffic signal recognition, deployed with MLOps best practices. At NT Lab, Eleazar engineered a groundbreaking brain-computer interface using FreeRTOS and ROS 2, processing neural signals at 250Hz to control 6-DOF robotic arms with sub-50ms latency. Recent B.S. graduate from ITESM in Robotics and Digital Systems Engineering, he actively mentors future engineers through STEM initiatives, having organized robotics competitions and led diversity programs impacting 200+ students across Mexico.More...