Summary
Flávio Clésio is a Senior Machine Learning Engineer and chapter lead based in Berlin with 11 years in IT and over 7 years focused on ML, currently building embedded ML at scale for telco platforms handling 250M+ daily requests. He combines hands-on MLOps and infrastructure experience from Snap and Kuehne+Nagel with deep productionization skills—deploying NLP classifiers, recommendation and matching engines, and real-time data pipelines across AWS, Airflow, Kubernetes and Spark. He has a strong troubleshooting background across legacy and modern databases, led technical coordination and interviewing efforts for nearly 100 hires, and has driven measurable business impact such as revenue-assurance and churn-reduction projects. Fluent in deploying reproducible ML (SageMaker, MLflow, DVC, Docker) and designing data landscapes, he pairs research interests in fairness and two-sided marketplace recommendations with pragmatic engineering delivery. An erstwhile professor and conference presenter, he brings both mentorship and cross-functional leadership to complex, production ML systems.
11 years of coding experience
11 years of employment as a software developer
Extension, Valuation, Extension, Valuation at Universidade Estadual de Campinas
Master of Engineering (MEng), Computational and Applied Mathematics, Master of Engineering (MEng), Computational and Applied Mathematics at Uninove - Universidade Nove de Julho
Bachelor, Information Systems, Bachelor, Information Systems at Faculdades Integradas Rio Branco
Associate Degree, Information Security, Associate Degree, Information Security at The Cybersecurity Labs
English, Portuguese, German