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Ahmed Rafiq

NUST · 2026
Email
ahmedrafiq1406@gmail.com
Phone
923190511349
LinkedIn
https://www.linkedin.com/in/ahmed-rafiq-794189308/
GitHub

Academic

Program
Bachelors in Electrical Engineering
CGPA
3.54
Year
2026
Education
School of Electrical Engineering and Computer Sciences (SEECS)
Address
DAMMAM 31441 , Islamabad , Pakistan
DOB

Career

Current role
Target role
Skills
Python, C/C++, MATLAB, Simulink, Verilog, Assembly Language, LTspice, PSpice, Multisim, Proteus, Arduino, LabVIEW, AutoCAD, Computer Vision, AI, YOLOv8, Object Detection, Tracking Algorithms, Control Logic, Deep Learning, Signal Processing, System-level Analysis

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.
Ahmed Rafiq
Cell: 923190511349 |  Email: ahmedrafiq1406@gmail.com
LinkedIn: https://www.linkedin.com/in/ahmed-rafiq-794189308/
Address: RAFIQAMJAD FAISAL AL SHUHAIL CO FOR TRADINGSERVICES AL KHALIDIA AREA DAMMAM KHOBER HIGHWAYP O BOX 1932
DAMMAM 31441 , Islamabad , Pakistan
PROFESSIONAL PROFILE
Electrical Engineering undergraduate at NUST with strong analytical and mathematical foundations, and focused interests in
computer vision, signal processing, and system-level analysis. Demonstrated hands-on exposure to real-world engineering
environments through technical internships, alongside academic projects involving modeling, control, communication-oriented
systems, and performance evaluation using Python, MATLAB/Simulink, and C/C++.
Experienced in developing and assessing software-centric engineering solutions where data, signals, and system behavior drive
design decisions. Currently working on a vision-guided autonomous tracking Final Year Project, emphasizing deep-learning-based
object detection, optimization, and robust evaluation under practical constraints. Known for strong problem-solving ability, quantitative
reasoning, and the ability to connect theoretical concepts with real-world engineering applications.
EDUCATION
Bachelors in Electrical Engineering
School of Electrical Engineering and Computer Sciences (SEECS) , Islamabad , 3.54 (2026)
INTERNSHIP EXPERIENCE
Faisal Alshuhail Company and Macrew Marine Services Est
01-Jul-2024 - 31-Aug-2024
Technical Intern — Faisal Alshuhail Company July 2024 – August 2024 | Dammam, Saudi Arabia • Evaluated electrical and
mechanical components in rotating machines. • Assisted in product reliability testing for industrial electrical equipment. •
Strengthened analytical skills in diagnosing electrical power system issues. Technical Intern — Macrew Marine Services Est July
2024 – August 2024 | Dammam, Saudi Arabia • Assisted in installation, fault diagnosis, and rectification of marine electrical systems.
• Worked on navigation and safety systems including AIS, GMDSS, and bilge alarm systems. • Developed hands-on expertise in
troubleshooting shipboard electrical faults under real operational constraints.
FINAL YEAR PROJECT
Vision-Guided Autonomous Drone Tracking System
Designing and developing a real-time vision-based autonomous tracking system for aerial platforms using deep learning and control
integration. The project focuses on accurate detection and tracking of target objects using YOLOv8-based computer vision, with
emphasis on small and distant object recognition, real-time performance, and robustness under varying conditions. The system
integrates object detection, tracking algorithms, and control logic to enable autonomous target following, with potential applications in
surveillance, search-and-rescue, and intelligent monitoring systems. Performance evaluation is conducted based on detection
accuracy, latency, and tracking stability.
TECHNICAL EXPERTISE
Technical Expertise
Programming & Software • Python, C/C++, MATLAB • Verilog, Assembly Language (course-work level understanding) Engineering &
Simulation Tools • MATLAB, Simulink • LTspice, PSpice, Multisim, Proteus • Arduino, LabVIEW • AutoCAD Computer Vision & AI
(Academic / Project-Based) • Object detecti ...

AI enrichment

Ahmed Rafiq is an Electrical Engineering undergraduate at NUST with a 3.54 CGPA, specializing in computer vision, signal processing, and system-level analysis. He has gained practical experience through technical internships in marine and industrial electrical systems and is currently developing a vision-guided autonomous drone tracking system.
Skills (AI)
["Python", "C/C++", "MATLAB", "Simulink", "Computer Vision", "YOLOv8", "Deep Learning", "Signal Processing", "LTspice", "PSpice", "Arduino", "LabVIEW", "AutoCAD", "Verilog", "Assembly Language"]
Status: ai_done
Provenance
Source file: SEECS - Electrical Engineering-2026.pdf
From job #259 page 142
Created: 1778168427