Jônathan Dambros is an engineering manager and Ph.D. chemical engineer with a decade of experience building Python-first AI and ML solutions, currently leading 30+ Ph.D.-level engineers to improve widely used LLMs at Turing. He co-founded a startup that commercialized manufacturing data-science workflows and architected Heron, a Django-based platform that standardized deployments and integrations with InfluxDB and visualization tools. His academic work in process monitoring and fault detection has been productionized for Petrobras and informed practical libraries (including a Kalman filter package) used across industry. Comfortable at the intersection of research and product, he has also served as a visiting ML researcher in Germany and consistently bridges rigorous experimentation with scalable engineering.
9 years of coding experience
5 years of employment as a software developer
VIsiting Researcher, Machine Learning, VIsiting Researcher, Machine Learning at Technische Universität Kaiserslautern
Bachelor's degree, Chemical Engineering, Bachelor's degree, Chemical Engineering at Universidade Federal do Rio Grande - FURG
Doctor of Science, Chemical Engineering, Doctor of Science, Chemical Engineering at Universidade Federal do Rio Grande do Sul
Contributions:12 commits, 4 pushes, 1 branch in 8 months
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