A Software & Data Engineer focused on data and AI systems and cybersecurity.

I turn complex, real-world problems into reliable tools that help people understand data and make informed decisions.

Rebuilt from an intern project I led at work.

An interactive AI security demo that converts executable files into grayscale images for CNN-based malware family classification.

• My contribution: Led interns through the original project, then reworked the implementation and web interface for the public demo.
• Result: Achieved 95%+ classification accuracy on the project's prepared malware image dataset, with a web demo for file upload and prediction results.

Tech: Python · TensorFlow · FastAPI · Vue.js · Vercel

→ Repository
→ Live Demo

Work project at the Institute for Information Industry · Source code is not public.

A TLS analytics platform that helps security teams inventory cryptographic usage and plan for post-quantum migration.

• My contribution: Owned backend and data engineering, including TLS ingestion, cryptographic enrichment, risk assessment, and automated readiness reports.
• Result: Analyzed 8M+ TLS records, mapped 348 cipher suites, and generated cryptographic bills of materials (CBOMs) and readiness reports to support audits and post-quantum migration planning.

Tech: Python · Polars · DuckDB · PostgreSQL · Zeek · Docker · Next.js

→ Case Study

Independently designed and built · Deployed V1.

A collaborative learning map that helps AI study groups explore topics, understand prerequisites, and find shared resources.

• My contribution: Designed and built the application from product specification to deployment, including the topic and relationship data model, interactive graph, and protected admin workflows.
• Result: Shipped a public learning map with 14 seeded AI topics, prerequisite and related-topic links, searchable topic pages, and tools for organizers to maintain the curriculum.

Tech: Next.js · React · TypeScript · Supabase · PostgreSQL · React Flow

→ Repository
→ Live Demo

• Building tools that address everyday development friction, turning recurring problems into simpler workflows.
• Building learning and knowledge tools that make connections between concepts easier to explore.
• Exploring AI-assisted development with clear specifications, focused tests, and reviewable changes.

Languages:

Backend & Data:

Frontend:

Machine Learning:

Tools:

Software & Data Engineer — Institute for Information Industry
Taipei, Taiwan · 2021–2026

Developed backend systems and data workflows for cybersecurity analysis, compliance mapping, and internal decision support.

• National Taiwan University of Science and Technology — Bachelor's in Industrial Management, with minors in Computer Science and Finance.
• RWTH Aachen University — Exchange student in Business & Economics.
• TU Berlin Winter University — Data Science with Python.

I co-founded and led a Data Analysis Club, where I taught Python, NLP, and data analysis workshops. I like helping people from non-technical backgrounds build confidence with data and turn their own questions into working projects.

Thanks for visiting. Feel free to reach out if you want to talk about data systems, cybersecurity AI, or building useful tools from messy problems.