Muhammad Ibrahim

Academic

Career

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Muhammad Ibrahim
Cell: 923165830838 |  Email: mibrahim.bee22seecs@seecs.edu.pk
LinkedIn: https://www.linkedin.com/in/muhammad-ibrahim-135606288/
Address: Hn: N-594 , Main boulevard, block n, new city phase 2 , Wah , Pakistan
PROFESSIONAL PROFILE
Electrical Engineer with a versatile technical foundation including Industrial Automation Control and Embedded Systems and
Robotics/AI. Experience spans from optimizing manufacturing processes using PLC logic to designing integrated control
architectures for autonomous robotics. Complemented by practical exposure to plant power operations, safety standards and
Integrated Work Systems, reinforcing the capability to deliver functional, reliable engineering solutions across diverse environments.
EDUCATION
GCE A - level
Beaconhouse School System , Wah (2022)
BE Electrical Engineering
National University of Sciences and Technology , Islamabad , 3.53 (2026)
INTERNSHIP EXPERIENCE
Pakistan Tobacco Company Ltd.
18-Jun-2025 - 01-Aug-2025
• Built and deployed smart weighing-conveyor logic using photo-eye and inductive proximity sensors with Allen-Bradley PLCs
(RSLogix/Studio 5000), increasing conveyor throughput and stabilizing line flow. • Contributed to day-to-day operations of the power
distribution team, coordinating the efficient delivery of over 5 MWfrom solar and grid sources to maintain safe, reliable operation with
minimal downtime • Supported SCADA operations across the plant; documented control loop parameters and fault recovery steps to
reduce unplanned downtime and worked on a wide variety of industrial automation and instrumentation equipment
EmbedAIoT
03-Jun-2024 - 16-Aug-2024
Engineered a standalone defect detection unit for industrial materials (Leather) using computer vision on embedded Linux processors
(Raspberry Pi), optimizing the software pipeline to enable continuous, real-time monitoring. Ported and deployed deep learning
architectures onto highly constrained microcontrollers (STM32), utilizing model compression and hardware-specific tools (X-CUBE-AI) to fit advanced logic within strict memory limits.
Electronic System Design Automation Centre
10-Jun-2024 - 16-Aug-2024
Developed robust Linux drivers and hardware abstraction layers to enable seamless communication between the operating system
and custom hardware peripherals, ensuring system stability and component compatibility. Designed a hybrid processing architecture
that optimized system speed by offloading complex tasks to specialized hardware logic, solving critical bottlenecks in real-time
processing applications.
FINAL YEAR PROJECT
Visual Drone Tracking System
Engineered a fully autonomous multi-drone solution by integrating distinct subsystems (computer vision, flight control, and
communications) into a single cohesive product, ensuring robust performance in dynamic environments. Tackled the challenge of
running heavy AI workloads on limited hardware (Raspberry Pi) by optimizing software efficiency, successfully achieving fail-safe,
real-time operation without compromising system stability. Designed a rigorous "Simulation-First" testing protocol (utilizing Gazebo) to
identify critical logic errors early, significantly accelerating the development lifecycle and preventing costly hardware failures during

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