Dimitris Moraitis is a founder and senior full-stack engineer with 17 years of experience building cloud-native, edge and startup products end-to-end. He founded mist.io (acquired by Dell) and later served as Edge Orchestrator architect at Dell, leading NativeEdge integrations and earning a "Game Changer" award for improving developer experience. An active open-source contributor, his work spans Apache Libcloud and a real-time anomaly detection framework—demonstrating expertise in cloud APIs, data ingestion, Elasticsearch/Kibana and backend pipelines. He pairs hands-on CI/CD, Kubernetes/Helm and DevOps skills with UX and DevX sensibilities, and now leads Spacecode.AI from Sant Cugat, Spain. Early in his career he also coordinated web systems for major civic events and political campaigns, showing a track record of shipping reliable, high‑stakes public-facing platforms.
17 years of coding experience
18 years of employment as a software developer
Bachelor of Science (BSc), Informatics & Telecommunications, 75, Bachelor of Science (BSc), Informatics & Telecommunications, 75 at University of Athens
Computer Science, Computer Science at Universitat Politecnica de València
Mist is an open source, multicloud management platform
Role in this project:
DevOps Engineer
Contributions:47 releases, 3059 commits, 322 PRs in 11 years 3 months
Contributions summary:Dimitris primarily contributed to the CI/CD pipeline and infrastructure aspects of the project. They implemented and modified scripts related to deployment, testing, and release automation. These changes involved Kubernetes configuration, Docker integration, and the use of tools like Helm. The user also worked on scripts to manage Elasticsearch, demonstrating familiarity with operational tasks and system administration.
An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
Role in this project:
Backend Developer
Contributions:29 commits, 2 PRs, 2 pushes in 2 months
Contributions summary:Dimitris primarily contributed to the backend functionality of the data streaming framework. Their work focused on fixing file paths, improving import order, casting data types, and addressing whitespace and comment issues within the Python code. They implemented Elasticsearch integration and developed functions for batch data processing and re-streaming, demonstrating expertise in data ingestion and processing pipelines. The commits also suggest work on generating a Kibana dashboard, showing an understanding of data visualization and monitoring tools.
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