Enterprise architecture / AI engineering & developer tools / database test governance / product validation
Project record
A controlled database test-data workflow: fetch current DDL through db-docs, separate structural facts from business rules, preview writes for confirmation, and preserve explicit verification evidence. Productization is still exploratory.
Project record
Replaced a legacy frontend and completed the Docker/Nginx deployment cutover while preserving REST, SockJS/STOMP, JWT, and Runner Key contracts, persistent database volumes, and unrelated workspace changes.
Project record
Designed a read-only Agent path around MRReviewEngineV2 with fixed SHAs, container isolation, allowlisted tools, budget-based routing, static fallback, and shadow evaluation. This remains feasibility and architecture work, not a performance claim.
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A lightweight database-context Skill that queries live schema, adds business usage through table and domain cards, preserves existing command contracts, and correctly distinguishes transport failures from missing tables.
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A personal knowledge workflow that turns raw material into source notes, topic pages, indexes, and change logs for durable reuse of frequently needed technical knowledge such as Codex CLI guidance.
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This bilingual engineering portfolio, built with Astro and TypeScript, with a Cloudflare Pages Functions and D1 contact flow plus verified responsive, reduced-motion, and scroll-linked visual behavior.
Project record
Turned an AI secretary concept into a staged validation route: a typographic web demo, a small Steam release, then a real assistant MVP. The work is currently a product plan.
These entries are based on existing project and work records. Employer, client, tenure, and quantified business details are not disclosed.
Shape boundaries and collaboration interfaces in complex systems, preserving API, real-time communication, authentication, and persistent-data contracts through frontend and deployment cutovers.
Design allowlisted permissions, version pinning, budget-based routing, fallback paths, and evidence boundaries for code review, CLI workflows, and Skills—without mistaking longer reasoning for better proof.
Separate DDL facts, business rules, test-data generation, write approval, cleanup, and verification evidence into auditable stages that reduce accidental writes and false conclusions.
Use architecture design, technical writing, presentations and diagrams, bounded PoCs, and staged product plans to turn ambiguous ideas into inspectable next steps.
Clarify objectives, permissions, existing contracts, and hard constraints first.
Turn complex relationships into a structure that can evolve, be reviewed, and fall back safely.
Use running results, diffs, tests, and evidence to state exactly what is complete.