Ahmed Sheriffdeen

Results-driven DevOps Engineer with an M.Eng in Communication & Information Engineering and a solid background in automation, cloud infrastructure, and continuous integration/continuous delivery (CI/CD) pipelines. Adept at bridging the gap between development and operations by implementing Infrastructure as Code (IaC), managing containerized environments, and optimizing deployment workflows. Proven track record of leveraging strong scripting capabilities to automate complex processes, improve system reliability, and reduce deployment errors.

DevOps Engineer Apprentice at Darey.io (2026-02 – 2026-05)

• Designed and automated highly available CI/CD pipelines using GitHub Actions and Jenkins, reducing deployment cycles by 35%.
• Provisioned and managed multi-tier cloud infrastructure on AWS utilizing Terraform modules, enforcing consistency across testing and production environments.
• Containerized legacy microservices using Docker and orchestrated workloads via Kubernetes, improving resource utilization and container scaling times.
• Implemented configuration management playbooks using Ansible to automate server provisioning, reducing manual configuration errors by 40%.

Programme Analyst (ICT) at National Orientation Agency (NOA) (2025-11 – Present)

• Led the migration of internal web services and local databases to secure cloud environments, achieving 75% application uptime.
• Authored automated Python and Bash scripts for routine system maintenance, database backups, and log monitoring, saving 10+ operational hours weekly.
• Configured and deployed structured access policies using AWS IAM, strengthening infrastructure security postures across institutional platforms.

National Youth Service Corps (ICT Staff) at National Orientation Agency (2024-11 – 2025-11)

• Administered and maintained local Linux servers, optimizing user permissions, network protocols, and troubleshooting connectivity issues.
• Collaborated with software developers to configure local environments using Git version control, reducing code integration conflicts.

Communication & Information Engineering Trainee / Research Student at Beihang University (2022-09 – 2024-07)

• Deep learning: built a hybrid computer vision model with transfer learning through knowledge distillation.
• Utilized advanced Python scripting and machine learning pipelines to clean, pre-process, and analyze high-volume dataset repositories (ImageNet, COCO).
• Managed high-performance computing environments and custom local clusters to optimize model training runtimes and deep learning pipeline efficiencies.

M.Eng in Communication & Information Engineering – Beihang University (2022-09 – 2024-07)

B.Eng in Electronic Information Engineering – Beihang University (2021-07)