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AI Engineer , Projects Control Specialist
AI Engineer and Planning Specialist with a unique blend of technical, analytical, and project-engineering expertise. I design and deploy intelligent systems that combine machine learning, graph analytics, and data engineering with structured project-planning methodologies. With hands-on experience across high-impact environments—from advanced AI R&D to large-scale construction programs—I bring a rare mix of software intelligence and real-world project execution insight. My strength lies in bridging AI innovation with practical execution—translating business problems into scalable solutions, and transforming raw data into measurable impact. I thrive in environments where systems thinking, analytical depth, and cross-functional coordination are essential to delivering results. GitHub: https://github.com/Abdullah-shamito
Al-Balqa Applied University (BAU)
Bachelor's degree, Mechanical Engineering
January 1, 2015 – January 1, 2020
Fino International
Planning Engineer
March 1, 2025 – Present
Dubai, United Arab Emirates · On-site
Resolve
AI Engineer
January 1, 2025 – March 1, 2026
Prague, Czechia · Remote
Mercurian
Machine Learning Engineer
January 1, 2023 – October 1, 2024
Amman, Jordan · Hybrid
Al-attar
Data Analyst
September 1, 2021 – November 1, 2022
Amman, Jordan · On-site
Google Project Management Professional Certificate
June 23, 2026 – Present
Cultural Fit Analysis
The candidate has experience in ML Engineering and Data Analysis, which aligns with the target role. However, the project section is empty, limiting the assessment of diverse experiences and initiative. The education in Mechanical Engineering, while not directly ML, shows a quantitative background. The 'Planning Engineer' and 'Data Analyst' roles at Al-attar and Fino International, with a focus on business development, suggest a broader business acumen, but also indicate a potential lack of deep, continuous focus on ML-specific projects. The Google Project Management certification, while valuable, is not directly relevant to an ML Engineer role and its future issue date is unusual.
Soft Skills & Operational Fit
The candidate's experience descriptions suggest an ability to collaborate with cross-functional teams and monitor performance, indicating potential for teamwork and accountability. However, without psychometric test results, a comprehensive assessment of soft skills and operational fit is not possible.