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Muhammad Usman Khawar

NUST · 2026 · 410780
Email
mkhawar.bee22seecs@seecs.edu.pk
Phone
+923190231205
LinkedIn
https://www.linkedin.com/in/muhammad-usman-khawar-04a37328a
GitHub

Academic

Program
CGPA
2.52
Year
2026
Education
Bachelors of Electrical Engineering School of Electrical Engineering and Computer Science , Islamabad (2026)
Address
VILLAGE AND PO. CHOPALA , Gujrat , Pakistan
DOB

Career

Current role
Target role
Skills
PROFESSIONAL PROFILE Detail-oriented Electrical Engineering student with strong practical exposure to industrial electrical systems, automation, and motor control. Hands-on experience in PLC-based automation, VFD configuration, power quality analysis, and electrical panel testing gained through an industrial internship at a large manufacturing facility. Familiar with industrial safety standards, troubleshooting, and reading electrical schematics. Motivated to contribute to power, automation, or maintenance roles while continuously enhancing technical and problem-solving skills in a professional engineering environment. EDUCATION Bachelors of Electrical Engineering School of Electrical Engineering and Computer Science , Islamabad (2026) INTERNSHIP EXPERIENCE Service Industries Gujrat 13-Jun-2025 - 09-Aug-2025 Completed an 8-week internship in the Instrumentation & Electrical Department at Servis Tyres Pvt. Ltd. Gained hands-on experience with PLC-based automation, VFD configuration, power quality analysis, and industrial motor control (DOL & Star-Delta). Assisted in electrical panel testing, TBM troubleshooting, inverter installation, and fault diagnosis while following industrial safety standards and collaborating with multidisciplinary engineering teams. FINAL YEAR PROJECT AI based Smart Power Management System ( Residential ) Proposed an AI-enabled IoT-based residential power management system aimed at reducing electricity costs and improving appliance safety. The system is planned to provide real-time, room-level energy monitoring through non-invasive current sensors and a central control hub installed at the main distribution board. It is intended to support automated over-voltage, under-voltage, and overload protection with remote power control. A cross-platform mobile application is planned for real-time visualization, historical analytics, and user-defined thresholds. The project also proposes on-device machine learning using TensorFlow Lite for offline electricity bill forecasting and energy optimization. TECHNICAL EXPERTISE Electrical Maintenance & Troubleshooting Basic hands-on experience in identifying, testing, and troubleshooting electrical faults in industrial equipment, motor circuits, and control panels while following safety procedures. Motor Control Systems Familiar with DOL and Star-Delta motor starters, contactors, overload relays, and timers. Able to understand wiring diagrams and assist in motor control circuit testing. PLC & Industrial Automation Basics Basic exposure to PLC-based automation, ladder logic understanding, I/O modules, and monitoring automated processes in a manufacturing environment. Variable Frequency Drives (VFDs)

AI enrichment

Detail-oriented Electrical Engineering student with strong practical exposure to industrial electrical systems, automation, and motor control. Hands-on experience in PLC-based automation, VFD configuration, power quality analysis, and electrical panel testing gained through an industrial internship at a large manufacturing facility. Familiar with industrial safety standards, troubleshooting, and reading electrical schematics. Motivated to contribute to power, automation, or maintenance roles while continuously enhancing technical and problem-solving skills in a professional engineering environment.
Status: ai_done
Provenance
Source file:
Created: 1777448793