Umberto Domenico Ciccia

Rende, Italy GitHub | LinkedIn | Blog

📂 PROJECTS

• Homelab SSH, K3S, K8S, IoT, Proxy, DHCP, TCP/IP, Lan, Networking, Hardware, Raspberry Pi 4, Jenkins, Grafana, Prometheus

  • Designed and deployed a 2-node Raspberry Pi 4 cluster (1 master, 1 worker) running Raspberry Pi OS with SSH enabled for remote management.
  • Built a custom mini-rack installation with active cooling (dual fans) and a dedicated Gigabit network switch for stable, high-throughput LAN communication.
  • Configured DHCP server with static IP assignments and hostname resolution for cluster nodes and proxy PC.
  • Established secure SSH access from a proxy PC to each cluster node for streamlined administration.
  • Installed and configured K3s lightweight Kubernetes: deployed K3s server on master node, joined worker node via token-based authentication.
  • Verified cluster readiness with smoke test deployments (pods, services, and basic networking validation).
  • Set up kubeconfig on proxy PC to enable external kubectl access to the cluster.
  • Deployed a custom “Homepage” application as a Kubernetes workload, with service exposure and ingress configuration.
  • Configured Traefik ingress controller (default in K3s) to expose the application via HTTP and HTTPS.
  • Managed DNS resolution for ingress access by updating local /etc/hosts mapping to custom domain (homepage.local).
  • Deployment of Grafana, Prometheus, and observability stack.
  • Deployment of Jenkins.
  

• QuestMasterAI
  Python, OpenAi, Github Actions, CICD, Docker

  • Developed an AI-powered platform for automated quest and task generation using Python and OpenAi’s Apis, enabling dynamic content creation for interactive applications, throught CLI.
  • Containerized the solution with Docker for seamless deployment and scalability across different environments.
  • Integrated OpenAI to leverage advanced language models, enhancing the quality and relevance of generated quests.
  • Designed the system to be developer-friendly, supporting easy customization and extension for various use cases such as games, productivity tools, or educational platforms.
  • Focused on modular architecture to facilitate integration with external APIs and frontends, promoting flexibility and reusability.

• AWS MlOps
  MlOps, Python, AWS, Sagemaker, Glue, S3, Lambda, Eventbridge, Github Actions, CICD, Kubernetes

  • Designed and deployed an MLOps pipeline using AWS SageMaker to automate the training and evaluation of regression models on Parquet data from S3, ensuring reproducible workflows.
  • Integrated model performance evaluation with conditional logic to trigger automated model registration and deployment using Lambda functions, enhancing reliability and control.
  • Provisioned infrastructure with Terraform, enabling end-to-end automation of the ML pipeline, including model deployment to a real-time REST API endpoint for production predictions.
  • Deployed a streamlit frontend in a kubernetes cluster for make and visualize prediction.
  • Developed a CICD pipeline with Github Actions, build and deploy new app images to Github container registry

  

• Purchase Manager
  Python, Gcp, Cloud SQL, Cloud Storage, Cloud Run, Github Actions, Terraform, CICD

  • Purchase Manager is a web application designed for efficient management of purchases, allowing users to track, organize, and analyze purchase data.
  • Built using modern web technologies, leveraging Streamlit and Fastapi for robust, type-safe client and server logic.
  • Utilizes Fastapi for backend services, providing scalability and seamless integration with databases.
  • Employs Streamlit for a dynamic, responsive user interface, ensuring an intuitive and engaging user experience.
  • Supports persistent data storage and advanced search/filter capabilities, enabling users to manage purchases with ease.

• Spark + Hadoop + Hive Air analysis
  Python, Spark, Hadoop, Hive, Docker, K8s, CICD, Github Actions, Scikit-learn, Streamlit

  • Set up and configured a Spark + Hadoop + Hive cluster on a local environment to process and analyze over 10GB of flight and airport data from OpenSky and OurAirports datasets.
  • Applied machine learning models including Random Forest classification and K-Means clustering to identify patterns in flight routes, delays, and airport activities using PySpark MLlib.
  • Designed and deployed a Streamlit dashboard to visualize key insights such as the most used airlines, busiest airports, and classification results, enabling interactive exploration of big data analytics.
  • Developed a CICD pipeline with Github Actions, build and deploy new app images to Github container registry

  

• Automation Lab
  Terraform, AWS, GCP

  • Developed Terraform exercises covering AWS, GCP, Kubernetes resources, and Terraform modules.
  • Applied advanced Terraform features like for_each, modules, and complex syntax to create reusable and scalable infrastructure code.
  • Designed IaC solutions to automate cloud resource provisioning across multiple cloud providers.
  • Focused on best practices for modularization, code reusability, and multi-cloud deployments.

• Instagram Twitter Clone
  Java, Angular, PostgreSQL, REST API

  • Developed a monolithic clone of Instagram/Twitter using a 3-tier MVC architecture.
  • Implemented JWT authentication and authorization for secure user management.
  • Enabled users to create posts, like, comment, tweet, and share photos and videos.
  • Designed and built the backend with RESTful APIs and the frontend with Angular components.
  • Integrated PostgreSQL for efficient data storage and retrieval.
  • Employed responsive design principles to ensure smooth user experience across devices.
  • Focused on scalability and maintainability to support potential future feature additions.

• Cloud CI/CD Pipeline
  C#, Blazor, GitHub Actions, ASP.NET Core

  • Set up automated workflows using GitHub Actions for CodeQL analysis, CI builds, and Azure deployment.
  • Configured pipelines for continuous integration and continuous deployment, ensuring streamlined code updates and quality checks.
  • Integrated Azure for hosting and deploying the ASP.NET Core Blazor application, enhancing deployment - efficiency.
  • Leveraged CodeQL to perform static code analysis, improving code security and quality during - development.

• SongFinder
  Kotlin, Android, Genius API, SQLite

  • Android app for song search and detailed metadata display.
  • Developed an Android app for song search and detailed metadata display using the Genius API.
  • Integrated SQLite for local storage of search history and song data.
  • Designed intuitive UI for seamless user interaction and quick access to song information.
  • Enabled song search by title, artist, and lyrics, providing detailed metadata such as album, release year, and genre.
  • Ensured app performance and responsiveness through efficient API integration and database queries.

📚 EDUCATION

Università Della Calabria, Rende, Italy
Computer Engineering — 109/110, 27.4/30
July 2021 – July 2024

• Full Time Student
• Among the top 1/3 of students to graduate in the first available session.
• Relevant Courses: Web and Mobile Application Development (30L/30), Software Engineering (27/30), Databases (29/30), Information Systems (27/30), Computer Networks (27/30)

🏆 CERTIFICATIONS

• Certified Kubernetes Administrator (CKA) (Badge)
• Kubernetes and Cloud Native Associate (KCNA) (Badge)
• Terraform Associate (003) (Badge)
• Google Associate Cloud Engineer (Badge)
• AWS Certified Solutions Architect – Associate (Badge)
• Google Cloud Provider: Cloud Digital Leader (Badge)
• Microsoft Certified: Azure Fundamentals (AZ-900) (Badge)
• AWS Certified Cloud Practitioner (Badge)
• GitHub Actions (Badge)