Jônathan Dambros

Jônathan Dambros

Python Developer @ Turing

About Jônathan Dambros

Jônathan Dambros is a Python Developer and CEO with a strong background in chemical engineering and artificial intelligence. He has held various roles in academia and industry, including postdoctoral researcher and co-founder of a startup, and currently works at Turing while leading Latos.

Work at Turing

Jônathan Dambros has been employed at Turing as a Python Developer since 2023. In this role, he focuses on solving complex coding challenges that enhance artificial intelligence models. His work contributes to the development and optimization of AI technologies, leveraging his extensive background in programming and research.

Previous Experience at Latos

Prior to his current role at Turing, Jônathan Dambros co-founded Latos, where he served as CEO from 2020. He worked there for four years, overseeing the company's operations and strategic direction. His leadership experience at Latos complements his technical skills as a Python Developer.

Academic Background

Jônathan Dambros studied at Universidade Federal do Rio Grande do Sul, where he earned a Bachelor's degree in Chemical Engineering from 2010 to 2014. He continued his education at the same institution, achieving a Master of Science in Chemical Engineering from 2015 to 2016, followed by a Doctor of Science from 2016 to 2019. His academic pursuits included interdisciplinary research that integrated chemical engineering with artificial intelligence.

Postdoctoral Research Experience

From 2019 to 2020, Jônathan Dambros worked as a Postdoctoral Researcher at Universidade Federal do Rio Grande do Sul. During this year-long position, he engaged in advanced research, further developing his expertise in the intersection of chemical engineering and artificial intelligence.

Research at Technische Universität Kaiserslautern

In 2018, Jônathan Dambros served as a Visiting Researcher at Technische Universität Kaiserslautern for 11 months. This experience allowed him to expand his knowledge in machine learning, contributing to his overall skill set in both research and practical applications of technology.

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