Resume
Software & ADAS Engineer with a PhD background in astrophysics. I build data platforms, validation workflows, and Python-based engineering tools for autonomous driving and data-intensive systems.
Professional Summary
I am a Software & ADAS Engineer working on data platforms and validation workflows for autonomous driving. My background combines industrial software engineering with scientific computing, large-scale data analysis, and research experience in astrophysics.
Core Strengths
- ADAS validation workflows
- Data platforms and data-intensive engineering
- Python-based backend and automation tools
- Internal tools and engineering dashboards
- Scientific computing and reproducible analysis
- AI-assisted engineering productivity
- Cross-domain problem solving between research and industry
Technical Areas
Software Engineering: Python, backend workflows, automation, APIs, internal tools
Data: Data pipelines, data inspection, validation workflows, reporting, reproducibility
ADAS / Automotive: Autonomous driving, ADAS validation, scenario/data evaluation, engineering workflows
Research Background: High-energy astrophysics, scientific computing, large-scale data analysis, publications
AI Tools: LLM-assisted coding, documentation, automation, developer productivity
Experience
Software & ADAS Engineering – Automotive / Autonomous Driving, Germany
- Build and maintain data platforms and validation workflows for ADAS and autonomous-driving engineering.
- Develop tools for data organization, inspection, evaluation, reporting, and automation.
- Work across data workflows, Python-based engineering tools, and internal platforms.
- Apply a scientific-computing mindset to engineering systems with complex data and long feedback loops.
Postdoctoral Researcher / Astrophysics Researcher – University of Tuebingen
- Developed scientific software and data-analysis workflows for high-energy astrophysics.
- Worked with complex observational datasets and reproducible analysis pipelines.
- Published research results and collaborated across international scientific teams.
- Built strong foundations in uncertainty analysis, data quality, and technical communication.
Education
- PhD in Astrophysics, Institute of High Energy Physics, 2015-2020
- BSc in Mathematics & Physics, Yunnan University, 2011-2015
Publications
For academic publications, see the Research Archive.