I like turning messy data and technical problems into tools people can actually use.
My path crosses data engineering, cybersecurity, applied AI, and the communities where people learn those subjects together. I care about turning that complexity into tools, workflows, and explanations that people can actually use.
How I got here
NTUST
Studied Industrial Management with a Computer Science minor, learning to connect analytical thinking with software engineering.
Data Analysis Club
Co-founded and led a learning community, organizing 30+ technical workshops and mentoring students in Python and data analysis.
Institute for Information Industry
Moved from data processing into security-oriented data products, backend systems, applied machine learning, and AI-assisted retrieval.
RWTH Aachen
An exchange in Business and Economics introduced a different academic culture—and a wider view of how environment shapes learning.
Notes from the work
Developing AI-native workflows and turning projects, notes, and repeatable methods into a public system for learning in the open.
How I work
Structure before automation
Understand the data, constraints, and decisions first. AI and automation are most useful after the shape of the problem is clear.
Build through vertical slices
Validate a small but complete path through the system before committing to a large architecture.
Document the reasoning
Keep the trade-offs, failed approaches, and repeatable methods—not only the polished result.
Beyond the work
Outside project work, I'm interested in how places, communities, and learning environments shape the way people build and collaborate.
- Building a data community at university
- Notes from Aachen
- Selected travel and learning environments
Get in touch
Working on something in software, data, security, or AI? Let's chat.
I'm interested in software, backend, and data engineering roles, especially work involving applied AI, data-intensive systems, developer tooling, or security-oriented products. I'm also open to collaborations that turn complex technical problems into useful products.