Summary
Fernando Da Mota is a Senior Data & AI Software Engineer with over a decade of experience designing and operationalizing large-scale data platforms and Applied AI systems in cloud environments. He combines hands-on architecture and pipeline engineering with team leadership, having led migrations to cloud-native Lakehouse architectures, cost-optimized data platforms, and a corporate LLM Hub for governed LLM usage. His work spans production-ready RAG/LLM systems, NLP-driven automation for legal document analysis, and integration of AI into complex government and enterprise ecosystems. Based in Mato Grosso do Sul, Brazil, he bridges academic research—pursuing AI/ML and GNN topics as a PhD candidate—with pragmatic engineering, delivering measurable efficiency and governance improvements in public-sector and commercial projects. Notably, he has translated research into impact by building AI orchestration and auditability into judicial automation initiatives that reduced costs and improved accuracy.
13 years of coding experience
12 years of employment as a software developer
MSc in Applied Computer Science for Agriculture Technologies Machine learning, MSc in Applied Computer Science for Agriculture Technologies Machine learning at Universidade Federal de Mato Grosso do Sul
Portuguese, English