Decision-ready data products
I design interfaces and workflows that make dense information easier to explore, compare, and act on.
Data x Product x Open Source
Building practical tools from messy data and real-world workflows
I am Ik Sung Lee, a technology leader and builder focused on turning complex domains into usable software. My work sits at the intersection of data products, operational systems, and developer-friendly tools.
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Featured Projects
Python
Core Builder Stack
OWL
Semantic Exports
Public Data
Research-Driven Products
Focus
What I build
Developer tools with clear workflows
I like products that lower the barrier to entry, especially when a technical field needs better onboarding and better defaults.
Operational systems for niche domains
My best work often comes from domain-heavy spaces where structure, categorization, and trustworthy data matter more than hype.
Featured Work
Projects I want this site to represent
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
v0.1.2highlights interactive editing and more flexible input workflows.
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.
Background
From data curiosity to product execution
This site started as a personal homepage, but the newer direction is more specific: document the kind of work I want to be known for. That means practical software, strong information architecture, and products that help people understand a domain faster.
My interests have consistently stayed close to data science, technology, research-heavy workflows, and building tools that make complexity feel more navigable.
Current signals
- Data-heavy product design
- Developer tools and automation
- Research interfaces and taxonomy work
- Open-source building in Python
- Writing and documenting what I learn
Elsewhere