About & CV

Software Engineer and 2026 graduate building scalable software and infrastructure systems.

About Me

I focus on software and infrastructure engineering, with practical experience in backend development, CI/CD, cloud-native systems, and distributed processing.

I enjoy designing reliable architectures, improving developer workflows, and shipping production-ready systems that scale under real-world constraints.

Based in Nantes, France. You can reach me through LinkedIn or the contact form.

LinkedIn: linkedin.com/in/elias-morio | GitHub: github.com/eliasmorio

CV

Professional Summary

Software Engineer with strong expertise in software and infrastructure engineering, focused on building scalable data and AI systems, with a particular interest in distributed architectures and high-performance computing.

Experience

  • Software Engineer (Apprenticeship) - Sopra Steria, Nantes, France (Sep 2023 - Present)
    Designed and automated end-to-end integration tests with Cypress in Jenkins pipelines, refactored backend components to reduce technical debt, and delivered production features with Spring, .NET, Angular, and Oracle in an Agile Scrum team.
  • Software Engineer Intern - HandyHand, Copenhagen, Denmark (May 2025 - Aug 2025)
    Designed and developed a new B2B SaaS product using Node.js and Express in a strict TypeScript environment, built scalable REST APIs for marketplace workflows, and contributed to architecture and deployment decisions in an international team.

Education

  • IMT Atlantique (formerly Ecole des Mines de Nantes) - Engineering Degree in Computer Science (Master's-equivalent), GPA 3.85/4.00 (Expected 2026)
  • University of Caen - Bachelor's Degree equivalent in Computer Science (2 years), 2023

Skills

  • Backend: Java (Spring), TypeScript (Node.js), REST, SQL
  • Cloud: Kubernetes, Docker, Terraform, Jenkins, GitOps
  • Systems: Distributed systems, asynchronous processing

Selected Projects

  • LLM Inference Optimization: Research on power-aware scheduling for LLM inference with metric-driven load balancing and dynamic instance reconfiguration on the Grid'5000 cluster.
  • Edenmap - Distributed AI Processing Platform: Built a distributed backend for satellite imagery processing with asynchronous job queuing and scalable task execution.
  • Home Lab & Cloud Infrastructure: Architected a multi-node K3s Kubernetes cluster with GitOps automation and secure external access via Cloudflare Tunneling.

Languages

  • English - C1 (TOEIC 980/990)
  • French - Native