Luís Neto is an ML and Data Engineer with nine years of experience building production-grade systems across banking, healthcare, energy and transportation. He specializes in the full AI & data stack—LLM deployment, RAG pipelines, fine-tuning and evaluation—paired with scalable data platforms using Spark, Kafka, Airflow and Databricks. At Millennium BCP he ships LLM-powered applications in a regulated, high-stakes environment, combining Python, Databricks, MLflow and observability with pragmatic C# and microservice work. He has a strong track record designing end-to-end pipelines from raw ingestion to models in production, and helped introduce agile practices and testing tooling (e.g., Promptfoo integrations) to improve team delivery. His background includes building clinical data platforms using HL7/OMOP and real-time Kafka pipelines that materially improved patient outcomes. MSc-trained at Instituto Superior Técnico with Databricks Data Engineer certification, he blends academic rigor with hands-on deployment experience.
9 years of coding experience
3 years of employment as a software developer
Master’s Degree, Artificial Intelligence and Cyber-security, Master’s Degree, Artificial Intelligence and Cyber-security at KU Leuven
Master’s Degree, Computer Science, Master’s Degree, Computer Science at Instituto Superior Técnico
Contributions:121 commits, 39 PRs, 73 pushes in 1 month
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Luís Neto - ML Engineer At Millennium BCP at Devoteam