I’m a Computer Science & AI/ML master’s student at TU Darmstadt and a Research Assistant with hands-on experience in backend development, AI systems, and scalable evaluation pipelines. My work focuses on building reliable, production-ready solutions — from backend services and APIs to AI model integration and evaluation. I’ve worked extensively with Python, data processing pipelines, and distributed systems, and I’m comfortable taking projects from idea to implementation. What sets me apart is my ability to bridge theory and practice: I don’t just build models or code — I make sure they are measurable, maintainable, and aligned with real business or research goals. If you’re looking for someone who communicates clearly, thinks structurally, and delivers solid, well-documented results, I’d be happy to work with you.

yingxin

I’m a Computer Science & AI/ML master’s student at TU Darmstadt and a Research Assistant with hands-on experience in backend development, AI systems, and scalable evaluation pipelines. My work focuses on building reliable, production-ready solutions — from backend services and APIs to AI model integration and evaluation. I’ve worked extensively with Python, data processing pipelines, and distributed systems, and I’m comfortable taking projects from idea to implementation. What sets me apart is my ability to bridge theory and practice: I don’t just build models or code — I make sure they are measurable, maintainable, and aligned with real business or research goals. If you’re looking for someone who communicates clearly, thinks structurally, and delivers solid, well-documented results, I’d be happy to work with you.

Available to hire

I’m a Computer Science & AI/ML master’s student at TU Darmstadt and a Research Assistant with hands-on experience in backend development, AI systems, and scalable evaluation pipelines.

My work focuses on building reliable, production-ready solutions — from backend services and APIs to AI model integration and evaluation. I’ve worked extensively with Python, data processing pipelines, and distributed systems, and I’m comfortable taking projects from idea to implementation.

What sets me apart is my ability to bridge theory and practice: I don’t just build models or code — I make sure they are measurable, maintainable, and aligned with real business or research goals.

If you’re looking for someone who communicates clearly, thinks structurally, and delivers solid, well-documented results, I’d be happy to work with you.

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Experience Level

Expert
Expert
Expert
Expert
Intermediate
Intermediate

Language

English
Advanced
Chinese
Fluent
German
Intermediate

Work Experience

Student Research Assistant at TU Darmstadt
May 20, 2025 - Present
Designed and implemented automated evaluation pipelines for LLMs (Python / HuggingFace), focusing on reproducibility, model comparison, and regression detection. Built and maintained internal training pipelines for SSM-based models (LoCOST, Mamba) using Python, ensuring reproducibility and systematic evaluation. Conducted and monitored large-scale training runs on HPC infrastructure (Slurm, GPU scheduling), including job configuration, resource management, and experiment tracking. Ensured 100% experiment tracking completeness via WandB, enabling cross-team collaboration and result reproducibility.
Data Analysis Intern at Jiujiang Elevator Maintenance Co., Ltd.
June 1, 2022 - September 1, 2022
Developed data processing pipelines (Python: Pandas/NumPy, SQL) to extract, clean, and analyze 100k+ rows of operational data, supporting the maintenance team's decision-making. Contributed to the development of internal databases and the definition of standardized data processing and pipeline workflows, reducing data retrieval time by 40% and ensuring consistent data formatting across teams.
RPA / Data Automation Intern at Information Service Co., Ltd.
February 1, 2023 - May 1, 2023
Designed and implemented automated business processes using Python and UiPath (RPA) for web data extraction, process automation, and data synchronization. Collaborated with internal business departments to analyze existing manual workflows, identifying key automation opportunities to reduce repetitive labor. Optimized and stabilized production RPA workflows through monitoring, debugging, and performance analysis.

Education

MSc in Computer Science, Artificial Intelligence & Machine Learning at TU Darmstadt
January 11, 2030 - January 27, 2026
BSc in Data Science and Big Data Technology at Yuzhang Normal University, Nanchang, China
January 11, 2030 - January 27, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Education