Software Engineer @ Cupix

May 2025 – Present

What: A company that turns buildings and construction sites into 3D digital twins people can look back through. I work on the frontend and as technical PM.
Why: Sites lose network, yet the desktop app fetched everything from the server, and QA filed bugs faster than the team could absorb them.
How: I built an offline mode that stores every entity's metadata and every image locally, and a hybrid layer that switches between the real API and the local database according to connectivity without changing a single call site. Edits made offline synchronise automatically on reconnection.
New: I proposed and ran the company's first workflow in which AI agents carry out development work, and served as technical PM for Beacon, its conversational AI product.

Product — SiteView Desktop

An Angular-based Tauri v2 desktop application.

Offline mode: designed and implemented LocalDB and LocalStorage interfaces that store every entity's metadata and image assets locally, so the UI reads everything it needs without a network. Demonstrated to Korea Power Engineering Company at a quarterly progress review.
Hybrid mode: designed a structure that calls the real API or emulates it from LocalDB depending on connectivity, without touching the engine libraries' call sites. Edits made offline sync automatically once the connection returns.
Connect: implemented GeoJSON export so SiteView data opens in ArcGIS and QGIS, and refactored panorama download to work in ZIP batches. Replaced the dialog-based download and upload flow with a wizard and consolidated the services behind it.

Issue Fixer: built and deployed an agent framework that collects, analyses, and fixes QA bugs, plus a dashboard for live KPIs and failure analysis. After adding a workflow that reads its own biweekly report and rewrites its own code, root-cause accuracy went from 78.5% to 92.2% and wasted PRs from 68.4% to 53.4%.
Beacon Chat: under a tight deadline I designed an agent-orchestration harness and built the chat server on it — the company's first workflow for building features that did not exist, rather than repairing ones that did. I served as technical PM for the product, splitting the spec into stories, distributing work across the team, and automating the dependency graph so the current bottleneck was always unambiguous.
local-serve: automated the build-target lookup and token injection that used to dominate bug reproduction. The frontend and QA teams use it daily.

Led the design and adoption of an AI-then-Human workflow across Jira, Slack, GitHub, and Azure for the frontend team.
Rebuilt CI/CD for the monorepo so Jira tags, PR labels, and commit logs are recorded automatically, leaving metadata the agents can analyse later.
Owned GitHub Actions runner capacity for the frontend team, optimised the pipeline, and locked down dashboard and webhook access behind a TailScale HTTPS funnel.