Julio Silva is a Lead Data Scientist based in São Paulo with nine years of experience building high-throughput, production-grade ML and MLOps systems across fraud prevention, real-time incident mitigation, and scalable multi-tenant APIs. He has progressed from full-stack and serverless engineering to leading mixed data scientist/data engineer teams, combining hands-on model development (supervised, unsupervised, NLP) with operational design for availability and automation. At EBANX he drives the core anti-fraud ML suite, and at Accenture he delivered solutions that reduced incidents from thousands per day to zero and architected resilient, multi-tenant ML services. Trained in Information Engineering, he pairs an analyst’s rigor with a researcher’s curiosity and a passion for both data languages and spoken languages, which informs his pragmatic yet exploratory approach to AI and infrastructure.
9 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Information Engineering, Bachelor's degree, Information Engineering at Universidade Federal do ABC
Bachelor's degree, Information Engineering, Bachelor's degree, Information Engineering at Federal University of the ABC - UFABC
Contributions:38 commits, 37 pushes, 1 branch in 3 months
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