Ali Taimoor Khalid

PROFESSIONAL PROFILE Final Year Electrical Engineering student skilled in digital & embedded systems, PCB design, and machine learning fundamentals. Experienced in hardware/software integration, system-level problem solving, CAD/CAM, and CNC machining with Autodesk Powershape & Powermill, plus basic reverse engineering using 3D scanning. Open to entry-level roles in embedded systems, machine learning, mechatronics, automation, or applied engineering. EDUCATION Electrical Engineering School of Electrical Engineering and Computer Science (SEECS) , Islamabad , 2.6 (4) INTERNSHIP EXPERIENCE Pioneer Power Generation (Rawalpindi) 01-Jun-2025 - 31-Jul-2025 Electrical work of different sites of Pakistan Tobacco Company (PTC) Field work on Cummins KTA 50 generators for Oil and Gas Development Company Limited (OGDCL) FINAL YEAR PROJECT Digital Twin Of UAV A Digital Twin of a UAV is a real time virtual replica of a drone with bidirectional control. Data from live flights is used to update the virtual model in real time and optimized control decisions can be given to the physical UAV using the virtual twin. The system enables real time monitoring, performance optimization, and intelligent UAV operations. TECHNICAL EXPERTISE Digital and Embedded System Design Digital System Design (Combinational and sequential logic) Embedded System Design Electronics and Design PCB design (Schematic and layout) Analog and digital electronics fundamentals Power electronics basics Machine Learning Machine learning fundamentals. Supervised and unsupervised learning basics. Feature extraction and data preprocessing. Model evaluation and validation concepts. Computation and Analysis MATLAB for simulation, analysis and modelling. Signal processing basics. Algorithmic problem solving. Core Electrical Engineering Signals and Systems. Linear Control System. System modelling and analysis. Feedback and stability concepts. Additional Skills Autodesk PowerShape (3D modeling and part design). Autodesk PowerMill (toolpath generation and optimization). CNC Machining

Final Year Electrical Engineering student skilled in digital & embedded systems, PCB design, and machine learning fundamentals. Experienced in hardware/software integration, system-level problem solving, CAD/CAM, and CNC machining with Autodesk Powershape & Powermill, plus basic reverse engineering using 3D scanning. Open to entry-level roles in embedded systems, machine learning, mechatronics, automation, or applied engineering.