ALI ALMARRI
Abqaiq
Summary
Motivated graduate in Mechanical Engineering poised to contribute theoretical knowledge and adaptability to a professional setting. Proven ability to excel in teamwork, coupled with a strong work ethic and eagerness to embrace new challenges. Seeking opportunities to apply classroom learning and expand practical skills in a dynamic environment
Overview
1
1
Certification
Work History
Quality assurance inspector
Sraco (Contractor for Aramco)
Abqaiq
03.2025 - Current
- Support the Quality Assurance Unit in ensuring compliance with Aramco’s engineering standards, safety procedures, and operational excellence.
- Conduct inspections and evaluations of logistics services, vehicles, and equipment.
- Collaborate with cross-functional teams to address quality issues and recommend improvements.
- Gained hands-on experience in quality control, safety audits, and technical documentation within a major energy organization.
Education
Bachelor of Engineering - Mechanical Engineering
Queen's University of Belfast
09.2020 - 07/2024
Skills
Technical Skills:
Design & Analysis Tools: SolidWorks, ANSYS Granta, Microsoft Office
Programming & Data Analysis: VBA, MATLAB (basic), Data Analysis & Visualization
Engineering Expertise: Safety protocols, Quality control, Mechanical design, Materials science, Material selection
- Adaptability, Time management, Multitasking
- Leadership, Teamwork, Strategic thinking
- Problem-solving, Strong communication skills
- Project planning and execution
Soft Skills:
Certification
- Six Sigma White Belt Engineering 05/2024
- Crane Safety Basic, OSHAcademy Safety and Health Training 06/2024
- 30-hour General Industry Safety and Health, OSHAcademy Safety and Health Training 07/2024
- Planning strategies, Riyadah institute 10/2024
- Data Fundamentals, IBM SkillsBuild 01/2025
- Member, Saudi Council of Engineers
Final project
Defect Classification in Metal 3D Printing Using Machine Learning.
- Developed a machine learning model to classify stainless steel powder quality for additive manufacturing.
- Achieved nearly 100% accuracy using Convolutional Neural Networks (CNNs) for defect detection.
- Analysed powder defects such as satellites, agglomerations, and surface irregularities, enhancing product quality in Selective Laser Melting (SLM).
Timeline
Quality assurance inspector
Sraco (Contractor for Aramco)
03.2025 - Current
Bachelor of Engineering - Mechanical Engineering
Queen's University of Belfast
09.2020 - 07/2024
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