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Carlos Azevedo

Director of Data Science and Head of Persono at Coteminas [Hiring!]

Carlos Azevedo is an award-winning author of a PhD thesis in computer engineering (2014) focused on machine learning, with experience in ML since 2006.

His expertise lies in designing advanced ML architectures, models, and algorithms for various data-driven applications such as financial time series forecasting, risk management, autonomous robotics, industrial IoT, and image compression, among others.

He possesses knowledge of ML, AI, and data processing tools like neural networks, random forests, evolutionary algorithms, and C++, Python, R, TensorFlow, among others.

Carlos has a strong background in leading teams, scoping multi-country projects, building proof of concepts, and communicating results effectively to stakeholders and the public.

His research vision focuses on creating AI systems that exhibit anticipatory, flexible, and sustainable performance, tailored towards preserving decision-making freedom in multiple scenarios.

Entrepreneurial-minded, he collaborates with stakeholders, leaders, and engineers to identify business pain points and translate them into ML, AI, and data science solutions.

Carlos Azevedo has held key positions at renowned organizations such as Coteminas, ExO Works, QuintoAndar, Ericsson, Samsung Electronics, among others.

He has also engaged in academic roles as a postdoctoral researcher, visiting researcher, lecturer, and has contributed to IEEE and Singularity University programs.

Carlos Azevedo
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Location

São Paulo, São Paulo, Brazil