Summary
Nelson Aloysio is a doctoral researcher in AI based in Tuscany with nine years of experience building machine learning systems, data pipelines, and graph-based analytics. His PhD work at Università di Pisa focuses on neural models for unsupervised clustering and information processing in temporal networks, blending high-performance distributed frameworks with complex-network theory. He has applied these techniques across industry roles designing ETL pipelines, web scraping, CI/CD and orchestration for production ML, and visualization dashboards that turn social data into actionable insights. Comfortable across Python stacks (scikit-learn, networkX, networKit), orchestration tools (Airflow/Celery), and deployment tech (Docker/Kubernetes), he bridges research rigor and production engineering. Unusually, his background spans social science and data science, giving him a rare ability to frame algorithmic solutions around human-centered questions in online networks.
9 years of coding experience
6 years of employment as a software developer
Master Social Science, Master Social Science at Ufes - Universidade Federal do Espírito Santo
Postgraduate Data Science with Big Data, Postgraduate Data Science with Big Data at Ifes - Instituto Federal do Espírito Santo
PhD Artificial Intelligence, PhD Artificial Intelligence at Università di Pisa