Ahmad Nayfeh

About Me

Hello, I'm Ahmad Nayfeh

AI Engineer | Data Scientist

My Journey: From Engineering Principles to Intelligent Systems

My career is a story about building things that work—and then making them intelligent. I began with a foundation in Electrical Engineering at KFUPM, where I developed a deep appreciation for the principles that govern complex systems. This background taught me to think methodically, test rigorously, and value solutions that are not just clever, but also robust and reliable.

As I moved into my Master's studies, my focus shifted to a new, exciting frontier: applying that same engineering rigor to the world of Artificial Intelligence. I discovered a passion for the complete lifecycle of data-driven products, from the initial spark of an idea to the final deployed application.

My goal is to do more than just build models; it is to engineer complete, end-to-end systems that deliver tangible value and solve meaningful problems

Skills & Technologies

AI Engineering
Data Science
Deep Learning
Computer Vision
Image Segmentation (U-Net)
Object Detection (YOLO)
Digital Signal Processing
Time-Series Analysis (1D CNNs)
Data Engineering
ETL Pipelines
Cloud Architecture
API Integration
Python
PyTorch
TensorFlow
SQL
Pandas & NumPy
Scikit-learn
Firebase (NoSQL)
Google Cloud APIs
Streamlit
Git & GitHub
Self-Supervised Learning
Transfer Learning

Work Experience

Teaching Assistant – Fundamentals of Electric Circuits
KFUPM, Department of Electrical Engineering
Dhahran, Saudi Arabia
20242025

Developed teaching materials and led weekly problem-solving sessions for 50+ undergraduate students.

AI Research Intern – Waste Detection & Classification
SDAIA-KFUPM Joint Research Center
Dhahran, Saudi Arabia
20232023

Developed a two-stage YOLOv8 + classifier pipeline, improving the F1-score by 2%. Managed and augmented a 10,000+ image dataset.

Education

MSc in Electrical Engineering (AI Focus)
King Fahd University of Petroleum and Minerals
Dhahran, Saudi Arabia
2024Present

Research focuses on Self-Supervised Learning and Computer Vision for Medical Imaging.

BSc in Electrical Engineering (Second Honor)
King Fahd University of Petroleum and Minerals
Dhahran, Saudi Arabia
20182024

Graduated with a focus on signal processing, image processing, and AI fundamentals.