As a Robotics and Digital Systems Engineer, I bring extensive experience in designing and implementing AI-based solutions, embedded systems, and intelligent interfaces. My background includes leveraging cutting-edge technologies such as stereo camera feedback, depth perception, machine vision, LiDAR, and AI/ML algorithms to develop innovative solutions for humanoid robots and autonomous systems. I have applied techniques such as visual odometry, VSLAM, and Kalman filtering for precise localization, along with advanced pathfinding methods using the A* algorithm and TensorFlow.I have had the privilege of expanding my knowledge by participating in courses taught by industry leaders like Dr. Luis Sentis and contributing to research in bipedal humanoid motion during my time at the University of Texas at Austin. My technical proficiency spans Python, C/C++, MATLAB, ROS, PyTorch, and machine learning frameworks, enabling me to tackle complex engineering challenges with confidence.In my professional experience, I have developed autonomous forklifts capable of navigating unfamiliar spaces and delivering materials with accuracy. I also created a closed-loop thermal sensing dashboard, integrating communication protocols like UART, FreeRTOS, and CAN bus with advanced PID control algorithms to maintain optimal temperature conditions.My recent role as a Software and Test Engineer at Quanta Computer Mexico allowed me to troubleshoot and optimize code for automotive computers, working with major clients such as Tesla, Volvo, and BMW. I have been responsible for managing high-volume production lines, ensuring quality control, and achieving a 96% success rate in testing automotive systems. Additionally, I was trusted to work independently at Volvo Car Company in South Carolina, where I trained engineers and managed software for their latest electric vehicle projects.Overall, my passion for robotics and innovation, combined with a robust technical foundation, makes me a versatile and effective contributor to any team.