AI, Data & Cloud Engineering graduate skilled in Python, SQL, machine learning, cloud platforms (AWS/Azure/OCI), and automation. Experienced in building data pipelines, dashboards, ML prototypes, CI/CD workflows, and mul…
AI, Data & Cloud Engineering graduate skilled in Python, SQL, machine learning, cloud platforms (AWS/Azure/OCI), and automation. Experienced in building data pipelines, dashboards, ML prototypes, CI/CD workflows, and multi-cloud environments. Strong analytical thinker with hands-on experience in AI agents, data processing, cloud deployment, troubleshooting, and IT systems. Passionate about solving real-world problems through AI-driven insights, scalable cloud solutions.
Simulated a VPN product to assess redundancy, resiliency, and least privilege principles.
Automated infrastructure validation and performance testing using Python CLI scripts.
- Simulated a VPN product to assess redundancy, resiliency, and least privilege principles. - Automated infrastructure validation and performance testing using Python CLI scripts.
Designed scalable AWS Elastic Beanstalk architecture for a high-growth client.
Proposed cost-efficient deployment model and simplified architecture documentation.
- Designed scalable AWS Elastic Beanstalk architecture for a high-growth client. - Proposed cost-efficient deployment model and simplified architecture documentation.
Built and debugged backend REST APIs using Java, Spring Framework, and SQL.
Simulated real-world financial workflows and improved backend logic accuracy.
- Built and debugged backend REST APIs using Java, Spring Framework, and SQL. - Simulated real-world financial workflows and improved backend logic accuracy.
Simulated cloud VPN/network architecture, testing redundancy, resiliency, and least privilege. Automated validation and performance testing using Python CLI tools.
• Configured AWS & Azure labs with automated resource provisioning. • Created Python + Bash scripts for environment checks, usage tracking, and documentation
Configured automated AWS & Azure labs with Terraform. Used Python/Bash scripts for resource provisioning, usage tracking, and essential environment health checks.
Built a business dashboard in Power BI featuring KPIs, trend analysis, & interactive filters. Automated ETL transformations using Python and SQL scripts.
Built and published an XGBoost ML model achieving 97.8% accuracy for financial credit scoring; performed end-to-end data cleaning, feature engineering, and PoC prototyping.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
د.جوب منطقة حرة ذ.م.م. 2026 © جميع الحقوق محفوظة
