[João Ferreira]
Engineer with a background in computational mechanics turned ML and data practitioner. I started by building finite element material models in Fortran — my open-source UMAT-ABAQUS framework is used by researchers worldwide — and gradually moved into machine learning, data engineering, and MLOps.
I enjoy bridging the gap between scientific computing and modern ML workflows: building robust pipelines, training models, and deploying them at scale.
- Core & Data: SQL, Python, PySpark, Bash, pandas, seaborn
- ML and AI: PyTorch, PyTorch Lightning, fastai, scikit-learn
- MLOps & Cloud: Terraform, docker, GCP, git, uv, poetry, ansible, VertexAI, AWS