●Open to contracts

Ayoub
Nasraoui

I build stable, automated infrastructure so your engineering team can ship code without the drama

I’m a freelance DevOps specialist. I help startups and growing tech companies cut cloud costs, automate messy deployments, and build zero-downtime infrastructure.

Get in touchView projects
Sousse, Tunisia
Msc DevOps&SRE
ayoub@devops ~ zsh
ayoub@devops whoami --json
{
"role": "I build stable, automated infrastructure so your engineering team can ship code without the drama",
"location": "Sousse, Tunisia",
"status": "Open to contracts"
}
ayoub@devops docker ps
CONTAINER ID   IMAGE        STATUS
a3f2c1d9e8b7   payload-cms:v3   Up 4 hours
b1e4d7a6c9f0   postgres-db:16   Up 2 days

ayoub@devops

Capabilities

Skills & Tech Stack

Professional skills

System DesignInfrastructure planningDocumentationContinuous Learning

Systems & Architecture

Linux AdminMicroservicesREST APIsMonitoring & ObservabilityAutomationGit & Github

Databases

PostgreSQLMongoDBRedis

Programming & Scripting

PythonBashJava(Spring boot)Nodejs(Expressjs)

DevOps & Cloud

DockerKubernetesGitHub ActionsAWS

Career

Work Experience

Software & DevOps Engineer intern
Mobelite Tunis
Feb 2026 - July 2026

End-of-study project Master's degree in computer science focused on DevOps infrastructure and automation and AI.

  • →Engineered Auto-Doc,' Auto Doc is a RAG-powered documentation system that automatically analyzes a codebase (AST + embeddings) to extract structure and generate precise, scoped technical documentation. It turns raw source code into LLM-generated Markdown docs through semantic search and async processing pipelines (jobs/workers), integrated into CI/CD.
  • →Implemented robust, end-to-end security protocols to protect sensitive enterprise data across data ingestion, storage, and LLM inference phases.
  • →Optimized retrieval accuracy and response times, delivering a highly secure and reliable AI tool for stakeholders.
DevOpsAIWeb Platform
Software Engineer intern
DocStreamSolutions, Monastir
Jan 2024 - June 2024 (6 months)

End-of-study project Bachelor degree in computer science focused on Full stack engineering and optimized solution for Healthcare.

  • →Developed full-scale hospital platform, focusing on robust backend architecture and seamless user experiences for medical staff
  • →Translated complex healthcare requirements into reliable code, ensuring data security and high system availability.
  • →Worked closely with stakeholders to deploy the platform on time, significantly reducing administrative overhead for the client.
Web Platform

Work

Projects

AWS Infrastructure environment

Built and operated a Terraform-managed AWS environment from scratch, including VPC networking, public/private subnets, EC2, IAM, EBS, CloudWatch monitoring and alerting. Deliberately introduced networking and CPU failures, investigated them from both AWS and Linux, and restored the system.

    Terraform AWS LinuxNetworking IAM EBSCloudWatch
    View project →
    Auto-Doc — AI-Powered Code Documentation & Analysis Platform

    An automated developer platform that analyzes software repositories and generates structured documentation from source code. Auto-Doc combines static code analysis, AST parsing, semantic embeddings, and AI-assisted processing to transform complex codebases into understandable, searchable documentation. The platform is containerized with Docker and integrates automated CI/CD and security checks to provide a reproducible and reliable development workflow.

      Node.jsExpressNext.jsMongoDBDockerGithub actionsClamAvSemgrepAST parsingall-MiniLM-L6-v2AI
      View project →

      Let’s build your infrastructure

      Tell me what you’re working on and I’ll reply within 24h.

      What do you need help with?

      ●Testimonials

      Clients  reviews & feedback

      Real feedback from clients and collaborators, showcasing the impact of my work through their words.

      # empty_set: system is awaiting incoming external reviews.
      secure_input_pipe.sh

      Establish Feedback Request

      // Transmit peer review metrics into the administrative queue pipeline.