Machine Learning Engineer • Open Source Maintainer • Data Scientist
I build open-source tools for machine learning, optimization, and workforce analytics.
My work focuses on making advanced ML techniques more accessible through practical, well-documented, and production-ready software.
🌐 Website: https://www.rodrigo-arenas.com ✍️ Articles & Tutorials: https://rodrigo-arenas.medium.com/
Evolutionary hyperparameter optimization and feature selection for scikit-learn.
- Hyperparameter optimization using Genetic Algorithms
- Feature selection with evolutionary search
- Native scikit-learn integration
- Callbacks, logging, plotting, and experiment tracking
🔗 https://github.com/rodrigo-arenas/Sklearn-genetic-opt
Workforce management, forecasting, scheduling, and optimization tools.
- Workforce forecasting
- Scheduling and rostering
- Queueing models
- Staffing optimization
🔗 https://github.com/rodrigo-arenas/pyworkforce
- Machine Learning
- Optimization Algorithms
- Evolutionary Computing
- MLOps
- Statistics
- Operations Research
- Open Source Software
- Physics and mathematics
I'm always interested in collaborating on:
- Open-source machine learning libraries
- Optimization and operations research projects
- Data science tooling and infrastructure
- Applied AI and research initiatives
Feel free to reach out if you think we can build something useful together.
Building open-source software for machine learning, optimization, and workforce analytics.