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 and tools I work with
The intersection of statistical thinking, signal processing, and software — picked up across school, work, and side projects.
Work experience
- 2026-01 — PresentRiyadh, Saudi Arabia
Electrical Design Engineer
Alfanar, RMU FactoryPreparing electrical design packages — including schematic drawings, ferrule schedules, and label files — for medium-voltage switchgear built to customer compliance specifications. Supporting major utility clients across the Middle East.
- 2024 — 2025Dhahran, Saudi Arabia
Teaching Assistant – Fundamentals of Electric Circuits
KFUPM, Department of Electrical EngineeringDeveloped teaching materials and led weekly problem-solving sessions for 50+ undergraduate students.
- 2023 — 2023Dhahran, Saudi Arabia
AI Research Intern – Waste Detection & Classification
SDAIA-KFUPM Joint Research CenterDeveloped a two-stage YOLOv8 + classifier pipeline, improving the F1-score by 2%. Managed and augmented a 10,000+ image dataset.
Education
- 2024 — PresentDhahran, Saudi Arabia
MSc in Electrical Engineering (AI Focus)
King Fahd University of Petroleum and MineralsResearch focuses on Self-Supervised Learning and Computer Vision for Medical Imaging.
- 2018 — 2024Dhahran, Saudi Arabia
BSc in Electrical Engineering (Second Honor)
King Fahd University of Petroleum and MineralsGraduated with a focus on signal processing, image processing, and AI fundamentals.
