Summary
Arthur Minduca is a Machine Learning Engineer and software architect with 10 years of experience building cloud-native, full-stack systems and production ML pipelines. He blends an MSc in Computer Science and MCSD credential with hands-on MLOps work at Revenu Québec—designing CI/CD for models using Azure, MLflow, DVC, Docker and FastAPI—to operationalize analytics at scale. Previously he contributed to AI-driven search and relevance at Coveo, shipping microservices and DevOps pipelines on AWS and Kubernetes while integrating platforms like Microsoft Dynamics. Comfortable across languages and stacks (Python, R, Scala, C#, TypeScript) he moves fluidly between research, production code and architecture. Colleagues describe him as a pragmatic engineer who pairs academic curiosity with decade-long production experience; he also taught programming at university level, revealing a knack for explaining complex ideas.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Computer Engineering, Computer Engineering, 80.26, Bachelor of Computer Engineering, Computer Engineering, 80.26 at Universidade de Pernambuco
Master of Science (MSc), Computer Science, A, Master of Science (MSc), Computer Science, A at Universidade Federal de Pernambuco
Portuguese, French, English, Spanish