Summary
Gabriel Schmith is a Principal GenAI Architect and seasoned .NET performance leader with 11 years of experience designing high-performance, scalable systems and leading multidisciplinary teams from Brazil’s Rio Grande do Sul. He combines deep expertise in .NET Core, microservices, CQRS/event sourcing and containerized platforms with recent hands-on work building large-scale AI platforms for public justice bodies using Semantic Kernel, RAG pipelines and vector indexes like Qdrant. Gabriel is known for balancing engineering rigor (SOLID, DDD, TDD) with pragmatic delivery—shaping frameworks used by over 1,500 developers and driving change-management, observability and model governance in production. He has a track record of translating complex legal and financial domain needs into auditable, secure AI copilots and data pipelines, and mentors teams to adopt performance-first architectures.
11 years of coding experience
10 years of employment as a software developer
Bacharelado, Computer Software Engineering, 9.8, Bacharelado, Computer Software Engineering, 9.8 at UniRitter
Técnico em Informática, Computer Software Technology/Technician, 9.7, Técnico em Informática, Computer Software Technology/Technician, 9.7 at Universidade Luterana do Brasil
Microcertificate, Machine Learning and AI, 9.2, Microcertificate, Machine Learning and AI, 9.2 at Harvard Business School
Master of Business Administration - MBA, Engenharia de Software - Inteligência Artificial, Master of Business Administration - MBA, Engenharia de Software - Inteligência Artificial at Full Cycle
Portuguese, English