Muideen Lawal, PhD

Muideen Lawal, PhD

Software Engineer {Scala} @ Opensee

About Muideen Lawal, PhD

Muideen Lawal, PhD, is a Software Engineer specializing in Scala, currently working at Opensee in Paris since 2021. He holds a PhD in Computer Science from Université Grenoble Alpes and has experience in the FinTech sector, particularly in big data applications.

Work at Opensee

Muideen Lawal has been employed at Opensee since 2021, serving as a Software Engineer specializing in Scala. His role involves developing software solutions tailored for the FinTech sector, with a focus on big data applications. Located in Paris, Île-de-France, France, he has contributed to various projects aimed at enhancing data processing and analysis capabilities within the financial technology landscape.

Education and Expertise

Muideen Lawal holds a PhD in Computer Science from Université Grenoble Alpes, where he studied from 2017 to 2021. Prior to this, he earned a Master of Science in System and Software Engineering from the Higher School of Economics, studying from 2015 to 2017. His academic journey began with a Bachelor of Science in Computer Science from Adekunle Ajasin University, completed from 2008 to 2012. His educational background provides a strong foundation for his expertise in software engineering and big data applications.

Background

Before joining Opensee, Muideen Lawal worked as a Computer Science Researcher at Université Grenoble Alpes from 2017 to 2021. During this time, he focused on research initiatives that contributed to advancements in computer science, particularly in areas related to software engineering and data management. His experience in academia has informed his practical work in the FinTech sector.

Achievements in Big Data Applications

Muideen Lawal has played a significant role in the development of a next-generation query engine designed for big data applications in the FinTech sector. His work emphasizes the application of Scala in creating efficient software solutions that address the complexities of data processing and analysis in financial contexts. This contribution highlights his commitment to advancing technology within the industry.

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