نبذة عني
Robotics & Autonomous Systems Engineer with nearly four years of experience in robotics software, autonomous navigation, AI-driven perception, and system integration. Skilled in Python, C++, ROS 2, SLAM, sensor fusion, m…
Robotics & Autonomous Systems Engineer with nearly four years of experience in robotics software, autonomous navigation, AI-driven perception, and system integration. Skilled in Python, C++, ROS 2, SLAM, sensor fusion, motion planning, PyTorch, OpenCV, Gazebo, and NVIDIA Isaac Sim. Currently pursuing a Master’s in Robotics and Autonomous Systems (AI), specializing in intelligent robotics and Physical AI.
الخبرة
AI & Autonomous Systems Engineer (Mechanical Tree Operator)
<p>Developed Python automation pipelines to collect and preprocess real-time telemetry from 12 carbon-capture equipment systems, supporting equipment monitoring and intelligent systems research.</p><p> Assisted in training machine learning models using PyTorch, Scikit-learn, Pandas, and NumPy to identify abnormal equipment behavior and support predictive maintenance research.</p><p> Experimented with Large Language Models (LLMs), Vision-Language Models (VLMs), and prompt engineering to develop diagnostic reasoning workflows, supporting 45 unresolved cases weekly.</p><p> Analyzed over 150,000 telemetry records using Python, SQL, and statistical analysis to identify operational anomalies and generate data-driven insights for interdisciplinary research teams.</p>
Associate Robotics & Autonomous Systems Engineer
<p>Developed and maintained autonomous navigation modules using Python, C++, ROS 2, and Nav2, improving navigation efficiency by 15% and supporting reliable robot movement across operational environments.</p><p> Integrated LiDAR, RGB-D cameras, IMU, and Kalman filters for sensor fusion and localization, improving positioning accuracy by 12% and reducing navigation errors during testing.</p><p> Implemented computer vision functionalities using Python, OpenCV, PyTorch, and YOLO, achieving 90% object detection accuracy and supporting automated object recognition in robotic applications.</p><p> Assisted in developing motion-planning algorithms using MoveIt 2, OMPL, A, and Gazebo, reducing obstacle-avoidance testing time by 15% and improving robotic task execution.</p><p> Performed simulation, debugging, and validation using NVIDIA Isaac Sim, Gazebo, Linux, and ROS 2, reducing repetitive physical testing efforts by 20% and accelerating development cycles.</p><p> Supported robotic hardware integration using NVIDIA Jetson, Raspberry Pi, C++, UART, and SPI, improving component communication reliability and reducing hardware integration issues by 15%.</p>