M.Sc. Computer Science @ TUM | SAP Full Stack Developer | AI & HPC Researcher

I am a Master's student at the Technical University of Munich, combining enterprise-grade software engineering with high-performance computing research. My focus is on building clean architecture, optimizing backend performance, and developing reliable systems.

• Email: yaxuan.chen@tum.de
• LinkedIn: [LinkedIn]

Research Project @ TUM Chair of Communication Networks

An open-source, high-performance Reliability Block Diagram (RBD) evaluation tool.

• Contribution: Designed a C++ boolean evaluation engine and integrated it via pybind11 to resolve Python performance bottlenecks.
• Impact: Achieved a 200x performance increase; Core logic accepted at RNDM 2025.
• Tech: Python, C++, Boolean Algebra, HPC Profiling.

SAP Full-Stack Business Application

An end-to-end maintenance management system deployed on SAP BTP, strictly following Clean Core principles.

• Backend: Implemented RAP (Managed) behavior definitions, semantic CDS data modeling, and ETag concurrency control.
• Frontend: Developed a custom SAPUI5 application with XML views and OData V2 binding.
• Tech: ABAP, RAP, CDS, SAPUI5, OData.

Full-Stack Java Application

A distributed flight booking platform featuring complex business logic and user workflows.

• Architecture: Built with Spring Boot (Backend) and JavaFX (MVC Frontend).
• Engineering: Implemented comprehensive Unit Tests (JUnit 5), external API integration, and relational database modeling.
• Tech: Java, Spring Boot, REST API, SQL.

AI Application

A real-time speech-to-image generation pipeline designed for VR environments.

• Pipeline: Integrated OpenAI Whisper for transcription and Stable Diffusion 3.5 for image generation.
• Analysis: Utilized YOLO and PySlowFast for human action and emotion recognition in workplace settings.
• Tech: Python, PyTorch, Multimodal LLMs.

Technical University of Munich (TUM)

• M.Sc. Computer Science (Current)
• B.Sc. Computer Science (Thesis Grade: 1.0)