Cloud / SaaS · Pre-production hardening
AI Pavilion
Serverless B2B SaaS foundation for virtual and hybrid events, with multi-tenant isolation, AWS infrastructure, subscription billing, auditability, backup and staged operational controls.
Portfolio di Riccardo Scaringi
Una selezione curata di progetti software, cloud, data engineering e machine learning. Gli stati indicati distinguono deliberatamente sistemi in sviluppo, prototipi e case study formativi.
Progetti selezionati
AI / Full-stack · Demonstration system — not for clinical use
HealthSolver
AI-assisted medical decision-support demonstration with FastAPI, React, Streamlit, Docker, monitoring and machine-learning components.
Cloud / Data Engineering · Engineering prototype
AWS Energy Data Platform
AWS-oriented energy-data prototype with IoT simulation, Lambda code, data-processing assets, notebooks and infrastructure templates.
Desktop / Document Management · Technical prototype
2Digit
Delphi document-management prototype with SQLite-oriented storage, OCR/search modules and a modular desktop application structure.
Cloud / Data Engineering · Engineering prototype
Serverless Data Engineering Pipeline
Serverless data-engineering lab with Lambda, SageMaker, monitoring, frontend and test/deployment structure. Some deployment placeholders remain incomplete.
Case study di Data Analytics e Machine Learning
Data Analytics · Exploratory Jupyter case study
BoardGameGeek Data Case Study
Notebook-based exploration of BoardGameGeek-derived board-game datasets, with update/preparation notebooks and documented CSV snapshots.
Data Analytics / ML · Analytics case study
Supply Chain Data Analysis
Supply-chain analysis using cleaning, standardization, K-Means clustering and visual exploration of lead times, costs and product volumes.
Data Analytics · Training case study
Cyclistic Bike-Share Analysis
Structured bike-share analysis comparing casual riders and annual members through cleaning, feature engineering, aggregation and business-oriented interpretation.
Machine Learning · Training case study
Employee Retention Analysis
HR attrition case study using exploratory analysis, feature engineering, logistic regression and Random Forest classification.
Formazione e progetti di apprendimento
Data Engineering · Coursework / learning project
Data Pipelines with Airflow & Redshift
ETL orchestration exercise using Apache Airflow, Amazon S3 and Redshift with fact/dimension loading and data-quality checks.
Nota di trasparenza: il portfolio non presenta automaticamente ogni repository GitHub come progetto produttivo. Repository di corso, reference, prototipi incompleti e archivi storici vengono separati dai progetti selezionati.