Summary
Daniel Salles is a software engineer with nine years of experience specializing in backend and cloud-native systems, currently building high-performance LLM APIs and global AI inference infrastructure for Microsoft Copilot. He has a strong track record in scalable, high-throughput distributed systems and proven Azure-native engineering from previous roles delivering data privacy and fraud detection solutions. Comfortable across Java Spring microservices, message queues, SQL Server, and modern DevOps practices, he bridges rigorous engineering with product-focused reliability. Daniel also brings hands-on systems administration experience managing a multi-user research compute cluster and practical leadership from running a university consulting club that secured major institutional partnerships. Based in Paraná, Brazil, he pairs academic grounding in computer engineering with a pragmatic approach to deployment and observability for production ML services.
9 years of coding experience