Santiago is an advanced Electrical Engineering student at the University of the Republic, specializing in Signal Processing and Machine Learning.
He currently works as an R&D Assistant at Digital Sense, where he integrates signal processing and computer vision techniques. His experience also includes developing solutions based on Large Language Models (LLMs) for process automation via natural language, as well as embedded systems development.
Skills & Tools:
- Areas: Programming, Data Analysis, Machine Learning, Computer Vision, Research, ESP32.
- Languages: Python, C/C++.
- Tools: Jupyter Notebooks, Git, SQL.
- OS: Linux, macOS, Windows.
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