Romulo Drumond is a Senior AI Engineer with 9 years of experience building production-grade AI systems and backend services, currently focused on architecting agent-based LLM workflows and safety guardrails. He blends deep ML research knowledge (Transformers, PyTorch, TensorFlow) with pragmatic MLOps and backend expertise (FastAPI, Docker, Kubernetes, Spark) to move prototypes into scalable deployments. Notable achievements include automating complex report generation with LangChain/LangGraph—saving hundreds of engineering hours—and designing event-driven safety checks that validate LLM outputs across multiple dimensions. He has a strong track record of cost and performance optimization, from 10x faster multithreaded processing to >20% annual savings on Spark workloads. Based in Ceará, Brazil, Romulo pairs a master’s in Teleinformatics Engineering with hands-on consulting and training experience, regularly turning ML research into operational systems and teaching teams practical MLOps skills.
9 years of coding experience
6 years of employment as a software developer
Master's degree in Teleinformatics Engineering , Machine Learning and Artificial Intelligence , Master's degree in Teleinformatics Engineering , Machine Learning and Artificial Intelligence at Federal University of Ceara
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