Umberto Domenico Ciccia

Rende, Italy GitHub | LinkedIn | Blog

📂 PROJECTS

• 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.
  • 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

  

• 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
Cybersecurity

• Student Worker
• Relevant Courses: Cryptography algorithms, Methods and techniques for cyber security, Models and techniques for Big Data

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

• 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)

💼 WORK EXPERIENCE

NTT Data Italia - Cloud Engineer

January 2025 – Present

• Partecipated to the implementation of an a hybrid on-premises/AWS cloud infrastructure using Terraform integrating over 20 services (S3, DMS, Aurora, ACM, SQS, VPC, ECR, EKS, etc.)
• Designed and implemented a Quarkus-based microservice leveraging FinOps best practices and the Vertex AI SDK to optimize multi-cloud infrastructure costs based on user-provided scenarios, enhancing cost efficiency and resource allocation.
• Developed a high-performance microservice using Quarkus and Crossplane to act as an agent for managing Istio policies in remote Kubernetes clusters, enabling dynamic policy enforcement, reducing manual intervention, and improving system scalability.
• Developed a Python script leveraging FinOps best practices and the Vertex AI SDK to generate the lowest-cost multi-cloud infrastructure based on user-provided scenarios, optimizing resource allocation and cost efficiency.

Vision One S.r.l — Software Engineer

July 2024 – December 2024

• Developed integration tests using xUnit and Testcontainer, achieving 90% test coverage.
• Integrated unit testing into OneWeb software, leading to 80% test coverage.
• Designed a project activity scheduling algorithm using ASP.NET Core and Blazor MVVM, achieving a scheduling time of less than 1 second.

Caliò Informatica S.r.l — Software Engineer

March 2024 – July 2024

• Enhanced visualization tools using .NET and Angular, improving management efficiency by 70%.
• Developed a medical office web platform, accelerating patient data entry by 80%.
• Optimized REST API calls to OpenAI, reducing costs by 80% and improving performance by 60%.

🛠️ SKILLS

• Framework: Angular, Blazor, ASP.NET Core, Spring, .NET, jUnit, xUnit, bUnit, Testcontainer
• Technologies: REST API, Docker, Kubernetes, Github Actions, CICD, Jenkins, SonarQube
• Cloud Providers: Amazon Web Services, Microsoft Azure, Goocle Cloud Platform
• Databases: SQLServer, MongoDB, PostgreSQL, SQLite, MySQL
• Programming Languages: C#, Java, Python, Bash
• Soft Skills: Problem Solving, Teamwork, Proactivity, Communication

🌟 EXTRA ACTIVITIES

• Contributed to GitHub Actions Marketplace.
• Supported UnicalLoveTelegram, assisting University of Calabria students.