Raúl Duarte

Python Developer at Improving

Raúl Duarte has a diverse work experience in various roles and companies. Raúl started their career as a Bachelor Thesis student at UADY, where they conducted research on the adsorption of CO2 on graphene. Raúl then pursued their Master's degree at Cinvestav Mérida, focusing on AB-initio studies of electronic and magnetic properties for HCP NI. In this role, they gained experience programming in Bash/Shell Linux and managing data from quantum expresso.

After completing their Master's degree, Raúl continued their academic journey at Cinvestav Mérida as a Ph.D. student. During this time, they worked on writing and publishing a research paper on applying ERG models to school data. Raúl also presented their findings at an international conference. Additionally, they developed R and Python programming skills and utilized them for exploring data patterns and programming simulations.

In 2017, Raúl participated in a Startup weekend at the Instituto Yucateco de Emprendedores. This experience allowed him to collaborate with people from different areas and develop a product for sale. Raúl learned to be a key player in a team.

In their recent role at Scientia.Ltd, Raúl contributed to backend development using Python, Django, and Flask. Raúl also worked with technologies like GraphQL and Docker. Raúl gained experience in unit and integration testing with Pytest.

Currently, Raúl is working as a Python Developer at Improving, starting in May 2022.

Raúl Duarte began their educational journey in 2008 at the Universidad Autonoma de Yucatan, where they pursued a degree in Physics Engineering. Raúl completed this program in 2013. Following their undergraduate studies, from 2013 to 2015, Raúl attended the Centro de Investigación y de Estudios Avanzados del IPN, where they obtained a Master of Science degree in Applied Physics. Building on their academic achievements, Raúl went on to pursue a PhD at the same institution, specializing in Applied Physics. Raúl started their doctoral studies in 2016 and is expected to complete them in 2020.

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Timeline

  • Python Developer

    May, 2022 - present