Lead end-to-end development and enhancement cycle of internal service tools, ensuring 100% readiness for cross-departmental utilization.
Streamline internal service delivery by building automated workflows and custom integrations that reduce manual overhead for various organizational entities.
Streamlined workflows through detailed analysis and modifications, resulting in improved operational processes.
Implemented software updates regularly to maintain cutting-edge technological capabilities.
AI Engineer
Saudi Aramco
Dhahran, Saudi Arabia
09.2022 - 03.2023
Evaluated AI system performance metrics to ensure optimal functionality and reliability.
Optimised Auto ML tool to improve prediction model quality and facilitate effective categorisation.
Developed prediction models using large datasets in chemical fields, enabling accurate RON and MON combination predictions.
DevOps consultant
Saudi Aramco
Dhahran, Saudi Arabia
08.2021 - 08.2022
Automated deployments to minimise downtime during application updates, facilitating smoother release cycles.
Integrated testing tools into CI and CD pipelines, assuring code quality prior to every deployment.
Education
Bachelor of Science - Artificial Intelligence and Computer Science
University of Birmingham
Birmingham, UK
09.2017 - 07.2021
Skills
API integration
Python scripting
DevOps practice
Google Cloud GCP
AI Integration and application
Machine learning and AI case studies
Timeline
AI Engineer
Saudi Aramco
09.2022 - 03.2023
IT Systems Analyst
Saudi Aramco
08.2021 - Current
DevOps consultant
Saudi Aramco
08.2021 - 08.2022
Bachelor of Science - Artificial Intelligence and Computer Science