Summary
Marcelo Azambuja is an experienced technology leader and IT/IS manager with over two decades of hands-on expertise in systems architecture, enterprise infrastructure, and data-driven automation. He currently leads cross-functional teams at EdgeUno, shaping scalable, secure BSS/OSS platforms and championing API-first automation and governance aligned with ISO, ITIL, COBIT and TOGAF standards. His background spans large telecom NOC design and monitoring, academic research in RFID and network protocols (PhD work), and production-grade ML and data pipelines deployed on Azure to power credit decisioning. Marcelo combines deep operational knowledge of Windows/Linux environments, SNMP-based monitoring, and middleware with practical ML engineering—parallelizing workloads and deploying models as APIs. He also mentors startups and veteran-led teams, bringing a rare mix of research rigor and production engineering that helps early-stage companies scale reliably. Based in Fort Lauderdale, he pairs academic publication experience with pragmatic leadership in enterprise and cloud-native environments.
8 years of coding experience
26 years of employment as a software developer
M220P: MongoDB for Python Developers NoSQL database, M220P: MongoDB for Python Developers NoSQL database at MongoDB University
Computer Systems Analysis - Bachelor's Degree Information Technology, Computer Systems Analysis - Bachelor's Degree Information Technology at Universidade Católica de Pelotas
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Pontifícia Universidade Católica do Rio Grande do Sul
Supervised Machine Learning: Regression and Classification (non-credit course) AI - Machine Learning, Supervised Machine Learning: Regression and Classification (non-credit course) AI - Machine Learning at Stanford University
English, Spanish