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Yaqeen AlhalalData Engineer

Overview · one screen

Yaqeen Alhalal

Data Engineer · Saudi Arabia

Focus
Data pipelines · ETL / ELT · Data modeling · Data quality & observability · APIs & integration
Core stack
Python · SQL · Apache Airflow · dbt · PostgreSQL · Docker · Spark · Kafka · FastAPI · Azure · GCP · AWS
Experience
Data Engineering Intern — Saudi Commission for Health Specialties · Oct 2025 – May 2026Software Development Intern — King Faisal University · Jun 2024 – Sep 2024
Education
Bachelor of Computer Science — King Faisal University · GPA 4.31 / 5.005 certifications · 2 bootcamps
Languages
Arabic, English · learning Italian, Russian, ArSL
All projects

Project 03Computer Vision / AI

Najmنجم

AI-Powered Accident Detection & Reporting

What if accident reporting could begin before anyone makes a call?

An AI-assisted accident reporting prototype combining computer vision, drone imagery, backend services, and a mobile application.

Recognition
Third Place — CCSIT Graduation Projects, King Faisal University, 2024
Type
Academic capstone prototype · Najm Accident Reporting System

Stack: Python · YOLOv5m · Flask · MySQL · Flutter · Computer vision

Overall model evaluation
Precision
0.772
Recall
0.798
mAP@50
0.799

Overall model metrics across all classes — not accident-class performance.

Select a stage to explore

CaptureStage 1 of 4

Explore the use of drone imagery to gather visual information about road incidents.