Muhammad Khizer Sheraz

PROFESSIONAL PROFILE Engineering student with practical experience in robotics, ROS 2, and Gazebo-based simulations, along with computer vision applications using YOLO and OpenCV. Proficient in Linux and Python, with hands-on experience on embedded platforms including Raspberry Pi and Jetson Nano. Highly motivated to develop intelligent autonomous systems and deliver effective real-world engineering solutions. EDUCATION Electrical Engineering School of Electrical Engineering and Computer Science (SEECS) , Islamabad , 3.4 (2026) INTERNSHIP EXPERIENCE Pakistan International Airlines (PIA) 29-Jul-2024 - 27-Aug-2024 • Attended workshops, seminars and talks regarding aviation safety standards, electrical workshops, avionics troubleshooting, PCAA compliance and emerging technologies. • Hands-on training and observation on flight control systems, power distribution in aircrafts, navigation systems, different parts of an aircraft and the wiring standards. • Carried out routine inspection and detailed analysis of the aircrafts with highly skilled engineers and technicians. K-Electric (HSEQ-D) 30-Jun-2025 - 11-Aug-2025 • Conducted on-site inspections to identify hazards and verify Safety compliance of field teams. • Assisted in NEPRA visits for public accident investigations and regulatory compliance checks. • Prepared and presented quarterly performance reports to management. • Reviewed FIR/DIR reports and ensured accurate documentation of incidents. FINAL YEAR PROJECT LiDAR-Guided Rover for Landmine Detection Developed a four-wheeled autonomous rover using ROS 2, implementing LiDAR-based SLAM for real-time localization and mapping and Nav2 for autonomous navigation. Integrated multiple sensors for landmine detection and validated system performance through Gazebo simulations in a Linux-based environment using Python and embedded platforms. TECHNICAL EXPERTISE Programming & Scripting Python, Verilog HDL, MATLAB, C/C++ Robotics & Simulation ROS 2, Gazebo, Nav2, LiDAR SLAM, Autonomous Navigation Computer Vision & AI YOLO, OpenCV, Object Detection, Sensor Fusion CAD & Design

Engineering student with practical experience in robotics, ROS 2, and Gazebo-based simulations, along with computer vision applications using YOLO and OpenCV. Proficient in Linux and Python, with hands-on experience on embedded platforms including Raspberry Pi and Jetson Nano. Highly motivated to develop intelligent autonomous systems and deliver effective real-world engineering solutions.