Summary
Denis De A Eiras is an HPC software engineer with 10+ years of experience building and optimizing high-performance systems for weather and climate prediction, now working at the CMCC Foundation. He combines low-level Fortran/C high-performance expertise (MPI/OpenMP, HPCToolkit) with modern ML tooling in Python (TensorFlow, Keras, Scikit-Learn) and a strong track record of productionizing code via CI/CD, containers and test automation. As former lead of INPE’s Scientific Computing group he instituted development methodologies, code standards and product lifecycle practices that scaled research software into operational services. His background also includes end-to-end delivery of Java web and Android platforms for industry clients, database and ERP integrations, and migration projects spanning Smalltalk to Java. Denis holds advanced degrees focused on applied computing and ML for weather prediction and an MBA in Data Science & Analytics, reflecting both technical depth and business-oriented delivery. A practical researcher and active open-source contributor (GitHub, PyPI, Kaggle), he blends reproducible science with production-grade engineering.
10 years of coding experience
15 years of employment as a software developer
Master of Business Administration - MBA Data Science & Analytics, Master of Business Administration - MBA Data Science & Analytics at MBA USP/Esalq
Bachelor of Applied Science (B.A.Sc.) Computer Science, Bachelor of Applied Science (B.A.Sc.) Computer Science at Pontifícia Universidade Católica de São Paulo
Master of Engineering (MEng) Automation and Systems Dynamics / IA for Computer Vision, Master of Engineering (MEng) Automation and Systems Dynamics / IA for Computer Vision at Universidade de Taubaté
Mackenzie Presbyterian University
Doctor's Degree Applied Computing - Weather Prediction through Machine Learning, Doctor's Degree Applied Computing - Weather Prediction through Machine Learning at INPE - Instituto Nacional de Pesquisas Espaciais
English, Portuguese, Italian