Carlos Bertoncelli is a Senior Machine Learning Engineer with 9 years of experience building production-grade AI systems, from face recognition and fraud detection to RAG-powered LLM pipelines and recommender systems. He blends deep academic training (Master's and ongoing PhD work) with hands-on MLOps and backend engineering, having designed scalable model training and deployment infrastructure that handled tens of thousands of models and cut inference times by 65%. At Daloopa and Andela he led initiatives that automated LLM QA, taxonomy discovery, and large-scale dataset classification using LangChain, LangGraph, and vector databases. Comfortable across Python, TypeScript, GCP/AWS, Kafka, and Terraform, he bridges research, product, and operations to deliver end-to-end solutions. A less-obvious strength is his background in edge and mobile ML—quantization/pruning and SDK work that powered on-device face recognition—giving him rare expertise across cloud and constrained environments.
9 years of coding experience
8 years of employment as a software developer
Master Degree Information Systems, Master Degree Information Systems at Instituto Politécnico de Bragança
Specialization Data Science, Specialization Data Science at PUC Minas
Phd Computer Science, Phd Computer Science at Universidade Federal do Paraná
Bachelor Degree Computer Science, Bachelor Degree Computer Science at Federal University of Technology - Parana
Contributions:7 pushes, 1 branch in 1 year 11 months
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Carlos Bertoncelli - Senior Machine Learning Engineer at Daloopa