Curriculum Vitae

Academic and professional background

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Education

Master of Computer Science

University of Science and Technology of China

2023 - 2026

GPA: 3.71/4.0

Relevant Coursework: Edge and Cloud Computing, Deep Learning, Parallel and Distributed Computing

Bachelor of Science in Engineering

Jiangxi University of Engineering

2019 - 2023

GPA: 4.0/4.0

Relevant Coursework: Sensor Technology, Microcontroller Applications, Circuit Analysis, High-Frequency Circuits

Skills and Tools

DevOps & Cloud

Docker, Kubernetes, Terraform, GitHub Actions, ArgoCD, AWS (IAM, EC2, VPC, CloudWatch, S3, Route 53), Azure, GCP

CI/CD & Automation

Git, GitHub (branch management, version control, CI/CD workflows), Bash scripting

Monitoring & Collaboration

Datadog, AWS CloudWatch, Jira, Slack

Networking & Security

OpenVPN, TCP/IP, DNS, Firewalls, Subnetting, Vulnerability Scanning, Wireshark, Nmap

Programming

Python, C, JavaScript (HTML, CSS)

Other

Arduino, Raspberry Pi, MATLAB (Fuzzy Logic, Control Systems)

Experience and Projects

Team Lead – Banking Application Deployment

Hands-on DevOps Project

2025
  • Containerized microservices using Docker and deployed them on Kubernetes clusters for scalability
  • Automated infrastructure provisioning with Terraform, including VPC, subnets, load balancers, and Route 53 DNS
  • Designed CI/CD pipelines using GitHub Actions for automated builds, testing, and deployments
  • Configured monitoring and alerts with Datadog, ensuring high availability and performance
  • Collaborated with a team using Slack and Jira for agile project management

Secure Website Hosting on AWS

Cloud Security and Automation Project

2025
  • Deployed secure static websites using S3, Route 53, CloudFront, and Certificate Manager
  • Configured HAProxy and Let's Encrypt SSL on EC2 for secure HTTPS traffic management

Certifications

Certificate of Completion - DevOps and Cybersecurity Training

Digital Witch

Publications

Ugwu, E. U., & Zhang, X. (2026). Promptable Fire Segmentation: Unleashing SAM2's Potential for Real-Time Mobile Deployment. ICIGP 2026. [Accepted]

Ugwu, E. U., Zhang, X., Tesfay, S. G., & Mehmood, M. H. (2025). LimFUNet: Efficient Real-time Fire Segmentation with SE-Enhanced Ghost Convolutions. The Visual Computer. [Under Review]

Mehmood, M. H., Zhang, X., Ugwu, E. U.(2025). Edge-Aware Dual Path Network for Medical Image Classification. Machine Vision and Applications. [Under Review]

Languages

English: Fluent

Chinese: Intermediate (HSK 4)

Soft Skills

  • Strong problem-solving abilities and a proactive learning approach
  • Effective teamwork and communication skills with attention to detail