PhD in Computer Science · University professor · Data systems, IoT infrastructure and applied machine learning.
I'm Pablo Ventura, PhD in Computer Science and university professor, interested in building practical systems that combine:
- data science
- machine learning
- IoT infrastructure
- Linux automation
My work usually sits at the intersection of software, data and physical devices.
Machine learning pipelines for optimizing real-world policies using large datasets.
Topics:
- predictive models
- policy optimization
- data pipelines
- statistical analysis
Distributed home automation system built with:
- ESP32
- MQTT
- Linux
- Python
Focus on reliability, observability and local control.
Processing large datasets using:
- Python
- Polars
- PyArrow
- Parquet
Focus on scalability and reproducible analysis.
Libraries often used:
- Pandas
- Polars
- Scikit-learn
- PyArrow
- applied machine learning
- decision optimization
- embedded data systems
- automation infrastructure
- natural language interfaces for programming
- machine learning models for policy optimization
- IoT sensor networks
- natural language interfaces for Linux tooling
- large-scale data analysis pipelines
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