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.
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
Modern recommendation platform combining machine learning with a production-oriented backend architecture.
Technologies: Python, FastAPI, Docker, PostgreSQL, machine learning
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
MSc Data Analytics
CCT College Dublin
BSc (Hons) Information Technology
CCT College Dublin
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.
LinkedIn: linkedin.com/in/ricardo-alves-de-souza
GitHub: github.com/ricardoasouz
Location: Dublin, Ireland