Marcelo Pesse is an ML Ops and data engineering professional with 11 years of experience who blends entrepreneurial grit from seven years running a hardware design startup with deep expertise deploying scalable data platforms and LLM pipelines. Based in São Paulo, he has driven measurable infrastructure savings—redesigning storage and decommissioning oversized RDS instances to cut costs and architecting S3/Athena data lakes that halved database expenses and improved query performance. He builds end-to-end ETL, real-time and batch inference pipelines, and production LLM agents for document automation and chatbots, pairing OCR ingestion with RAG retrieval for legal workflows. Known for ownership and translating business needs into engineering solutions, Marcelo is comfortable across cloud providers and observability tooling, having integrated Langfuse into GCP LLM flows. His background in electronics and mechatronics gives him an uncommon hardware-to-ML Ops perspective that helps optimize system-level tradeoffs.
11 years of coding experience
12 years of employment as a software developer
Técnico em Mecatrônica, Técnico em Mecatrônica at Etec Getúlio Vargas
Bacharelado Business Administration, Bacharelado Business Administration at USP - Universidade de São Paulo
Contributions:8 pushes, 1 branch in 2 years 5 months
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