Tuan Nguyen

Led technical strategy and architecture for large-scale financial, healthcare, and automotive data platforms. Drove client acquisition, generating over €3M in revenue, while growing and coaching a 17-member team.

I write technical tutorials about programming languages, data engineering, data science, big data, and cloud.

Freelance engineer with a development focus on building scalable data pipelines and data platforms.

Led technical projects processing large-scale financial and automotive data, optimizing distributed data pipelines with Spark (Scala/Python). Designed scalable data models, built CI/CD pipelines, and deployed applications using Kubernetes, Docker, and serverless technologies

Developed and deployed machine learning solutions for IoT use cases, integrating data pipelines and scalable backend systems. Delivered talks on IoT, machine learning, and data-driven DevOps at conferences.

As a visiting researcher I conduct research in the topic: "A qualitative comparative evaluation of Java and Grace or implementing design patterns"

In order to evaluate the performance of a researcher, publication data are needed. Many researchers have the same name, which makes it difficult to link the right publication to them. In this project a recommendation system should be implemented in order to link the right publications to the correspondent researcher.

As a data scientist and a project manager, I lead a team of 5 high motivated international students from different background developing a recommendation system in online shopping, fashion area. The project is a part of the cooperation between Univeristy of Erlangen Nueremberg and Adidas.

Exchange student

Research topic: Solving of name disambiguation problem by machine learning

Visiting scholar

Research topic: A qualitative comparative evaluation of Java and Grace or implementing design patterns.