Maryam AL Mushikes

• Machine Learning Developer
◦ Expertise in Gen AI, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG),
and advanced AI applications
◦ Design and develop machine learning models to support data-driven decision-making in enterprise
environments.
◦ Act as the primary technical point of contact for customers or internal teams deploying AI solutions.
◦ Collaborate with business units to define use cases, gather requirements, and deploy models integrated
with the oil industrys data and internal applications.
◦ Present model performance and recommendations to technical teams and management.

• Develop RPA solutions integrated with SAP to automate workflows of plant and storage maintenance,
reducing manual effort and increasing data accuracy.
• Identify opportunities for process optimization and deliver stable, efficient automation across multiple
business units.
• Troubleshoot and enhance existing automation, supporting continuous improvement.

• Managed access and authorization for the ERP Azure System.
• Advised on best practices for SQL performance tuning and managed complex troubleshooting scenarios for
mission-critical databases.
• Built interactive Power BI dashboards, enabling management to make informed, data-driven decisions.
• Designed data replication and backup solutions supporting real-time analytics and reporting for business
intelligence teams.
• Managed the administration and optimization of large database systems, ensuring uptime and disaster recovery
readiness.
• Collaborated with different departments to analyze data requirements and deliver customized reporting
solutions.
• Customized ERP system functionalities using JavaScript and designed ERP workflow automation for process
optimization.

• Managed the administration and optimization of large database systems, ensuring uptime and disaster recovery
readiness.
• Designed data replication and backup solutions supporting real-time analytics and reporting for business
intelligence teams.
• Collaborated with enterprise architects to define long-term data infrastructure roadmaps.
• Provide onboarding, training, and ongoing support to ensure users understand and can effectively use the tools
for both technical stakeholders and C-level executives.
• Advised on best practices for SQL performance tuning and managed complex troubleshooting scenarios for
mission-critical databases.

During my internship, I developed two pages in a mobile application that allowed patients to book appointments. I integrated data storage with Firebase and uploaded appointment schedules to a web dashboard, enabling doctors to easily view and manage them.