Savio Teles is a Data Science Project Leader with 11 years of experience building scalable AI and data platforms across legal and healthcare domains. He designs and operationalizes RAG systems and Portuguese-tuned LLMs (including work with Gemma and Llama), combining modeling excellence with robust data engineering and production tooling. Savio has led end-to-end initiatives from Big Data pipelines (Kafka, Spark, Flink) to deployment and monitoring on cloud platforms, and has driven data mesh and lakehouse transformations as a head of data and product. He pairs academic rigor—a PhD and postdoctoral work in computer science—with hands-on leadership at CEIA, Jusbrasil and startups, and teaches data science and engineering at multiple universities. Known for integrating cutting-edge frameworks (LangChain, LlamaIndex, Pinecone/Qdrant) with orchestration tools like Airflow, Kafka, and ArgoCD, he focuses on delivering measurable impact and ethical AI. Based in Goiás, Brazil, he subtly blends research, teaching, and product delivery to turn legal and healthcare data into operational intelligence.
11 years of coding experience
14 years of employment as a software developer
Postodoctoral, Computer Science, Postodoctoral, Computer Science at Universidade Federal de Goiás
Contributions:13 commits, 10 pushes, 1 branch in 3 years 10 months
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