Summary
Ivan Pagnossin is a data scientist, programmer, and STEM professor with 13 years in data roles and over two decades of professional programming experience, combining a PhD in semiconductor physics with applied computation for education. He builds end-to-end cloud data platforms and ML microservices, having led the creation of a two-tier Data Lake/Warehouse, cut cloud costs by 60%, and founded data teams and curricula in education-focused organizations. Comfortable switching between research, software engineering and leadership, he has shipped production systems using GCP, BigQuery, dbt, Airflow, Kubernetes and FastAPI while also developing learning analytics and adaptive LMS features. As an entrepreneur he runs a consultancy serving academic and industry clients, and as an educator he has designed hundreds of digital learning objects and taught physics, math and data science across top Brazilian institutions. A habitual practitioner since 2001, he pairs deep quantitative rigor from experimental physics with pragmatic software and data engineering to improve educational outcomes.
13 years of coding experience
13 years of employment as a software developer
University of São Paulo
Technician, Electronics, Technician, Electronics at Liceu de Artes e Ofícios de São Paulo
English, Portuguese, French