Resume

Agent Developer, Coding Agent Team

• Lead ontology-driven AI agent development on the Coding Agent team.
• Continue to develop Consilience and apply its knowledge-graph code intelligence to the team's product.
• (to be filled in — specific outcomes and metrics at Wrtn)

Solo founder and engineer — Consilience

• Built the world's first general-purpose ontology OS alone, from research through to commercial release: roughly 468,000 hand-written lines, seven languages, signed macOS and Windows builds. Solo · shipped commercially
• Measured all 500 SWE-bench Verified tasks on the official harness, and isolated the scaffold's own contribution at 54% → 76% with the model and a 50-task set held fixed. 78.80%
• Ranked first on the official DP-Bench leaderboard for table structure recognition, above Upstage, AWS, LlamaParse, Microsoft and Google. TEDS-S 98.11

Full-stack engineer — Anthropic and OpenAI hackathons

• Selected for the final 230 of roughly 13,000 applicants in Anthropic's Built with Opus 4.6 Claude Code hackathon, and the only Korean participant. 230 of 13,000
• Implemented FFT, formant extraction and voiced/unvoiced detection in the browser, holding phoneme-level error under 10 Hz. ±10Hz
• Made time-axis alignment 18× faster with a hybrid DTW, with inversion error held at zero. 422ms → 23ms

Founder and CEO · Strategy team

• Raised venture capital, central-government R&D grants, public support funding and guarantee-backed financing. ₩1.4B+ raised
• Graduated 23rd of 100 companies in cohort 5 of the Changgu programme run by Google and the Ministry of SMEs and Startups. 23rd of 100
• Designed and built the whole surface — customer app, admin back office and CMS: 1,390 dynamic screens across 1,042,300 lines. 10,000+ users · ₩100M+ GMV

Senior Researcher, Standard Software Research, ITS Division

• Proposed and built a setup that put responsive web, iOS and Android in one monorepo with Expo and Next.js, in order to cut development and maintenance cost.
• Wrote and published the standard library and its guidelines, and trained the developers who used it.

Software outsourcing and in-house product development

• A property transaction management platform (client work)
• Handset identification and accessory locator software (client work)
• A personality-quiz marketing platform (in-house)

Researcher, R&D Institute

• Trained a CNN on 32,474 crawled images with a single GPU to classify apparel categories automatically. 90%+ accuracy
• Wrote the vector-similarity data cleansing and post-processing pipeline myself.
• Handled the EWERP research and development that moved a Delphi-based ERP onto a cross-platform web stack.