Projects

Things I have built and shipped

Open-source tools, research products, and side projects that reflect how I think about data, structure, and usable software.

Open Source GitHub

OntoBuilder

A Python toolkit for building small, understandable ontologies without requiring deep OWL expertise up front. It combines a CLI, Python API, OWL or RDF export, lightweight reasoning, data-to-ontology helpers, optional AI-assisted workflows, and a Streamlit app.

  • Designed for ontology learning, prototyping, and structured modeling from CSV or JSON data.
  • Supports exports like Turtle, OWL, JSON-LD, prompt text, and schema-oriented outputs.
  • Recent release v0.1.2 highlights interactive editing and more flexible input workflows.
  • Python
  • CLI
  • Streamlit
  • Ontology
  • OWL/RDF
Research Product Visit Site

KDReview

Korean Defense Intelligence Tracker. A domain-focused product that organizes defense companies, weapons systems, export contracts, analytics, and map-based views into one research surface.

  • Tracks South Korean arms exports and defense contract activity using public-record sources.
  • Turns scattered, specialist information into a clearer interface for exploration and comparison.
  • Shows my interest in high-context products where taxonomy and trust matter.
  • Research Product
  • Defense Intelligence
  • Analytics
  • Public Data

Timeline

Project updates

2026
Website redesign
Rebuilt this personal site with a data-science-oriented dark theme, interactive network graph background, and updated project portfolio.
2024
OntoBuilder v0.1.2
Released the latest version of OntoBuilder with interactive editing, flexible input workflows, and expanded export formats.
  • Streamlit app for visual ontology editing
  • AI-assisted workflow support
  • New export formats: JSON-LD, prompt text, schema outputs
2022
KDReview launch
Launched KDReview, a Korean defense intelligence tracker covering companies, weapons systems, export contracts, and map-based analytics.
2017
Shift to data science
Began focused work in data science, building skills in Python, analytics, and research-driven product development.