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ricardoasouz/README.md

Ricardo Alves de Souza

AI & Cloud Engineer | Python | APIs | Linux | Docker | Kubernetes | Machine Learning

Dublin, Ireland

I am an IT professional with a background in technical support, systems troubleshooting and software development, complemented by an MSc in Data Analytics and a BSc (Hons) in Information Technology.

My current focus is on AI, cloud engineering, APIs, containerised applications and machine learning, combining hands-on troubleshooting experience with modern software and data technologies.

Featured Projects

Soft-Tissue Sarcoma Survival Analysis

End-to-end radiomics and machine learning pipeline for progression-free survival analysis using clinical and MRI-derived features.

Technologies: Python, PyTorch, PyRadiomics, CoxPH, DeepSurv, survival analysis, medical imaging, Google Cloud

View project

Movie Recommender Platform

Modern recommendation platform combining machine learning with a production-oriented backend architecture.

Technologies: Python, FastAPI, Docker, PostgreSQL, machine learning

View project

Technical Focus

AI & Data
Python · Machine Learning · Deep Learning · PyTorch · Pandas · NumPy · Scikit-learn · Data Analytics

Cloud & Infrastructure
Linux · Docker · Kubernetes · Google Cloud · Cloud Architecture

Backend & APIs
REST APIs · FastAPI · Flask · Node.js · SQL · PostgreSQL · Firebase

Engineering
Technical Troubleshooting · Systems Integration · Git · SDLC · Agile/Scrum

Education

MSc Data Analytics
CCT College Dublin

BSc (Hons) Information Technology
CCT College Dublin

Current Focus

I am currently strengthening my expertise in cloud-native engineering, Kubernetes, AI systems and production-oriented machine learning while building practical engineering projects.

I am particularly interested in opportunities involving AI, cloud platforms, technical engineering, APIs, infrastructure, and machine learning.

Connect

LinkedIn: linkedin.com/in/ricardo-alves-de-souza

GitHub: github.com/ricardoasouz

Location: Dublin, Ireland

Pinned Loading

  1. sts-survival-ml sts-survival-ml Public

    End-to-end radiomics and machine learning pipeline for progression-free survival analysis using CoxPH and DeepSurv.

    Jupyter Notebook

  2. Movie-Recommender Movie-Recommender Public

    Movie recommendation system using collaborative filtering, KNN and cosine similarity.

    Jupyter Notebook

  3. flask-restful-apis-master flask-restful-apis-master Public

    Dockerfile

  4. codelabs_FireBase_MeetUp codelabs_FireBase_MeetUp Public

    Forked from flutter/codelabs

    Flutter Codelab Examples

    C