Jooinh Park

AI Engineer · Product Development · Tokyo
한국어日本語English

Three native languages and one working conviction: a diagnosis you cannot run is still a guess.

Tokyo, Japan M.S. Computer Science, Ritsumeikan Work-authorized in Japan
AgentOps

An incident-triage pipeline that proves its own diagnoses

Softbrain builds e-Sales Manager, a CRM/SFA platform. Like most companies that have shipped something people depend on, its engineering capacity is consumed by keeping that thing alive — the backlog is maintenance, and maintenance is triage.

I spent my first month on that rotation. Then I moved to the AI team and built the thing that attacks the rotation itself. I am the sole designer and implementer; a second engineer handles log emission and deployment.

01

Triggers itself

Application logs, maintenance tickets, and New Relic and CloudWatch alerts. No human starts it.

02

Gathers its own context

Source code, correlated logs, network state, environment and dependency detail — it decides what it needs to look at.

03

Isolates a root cause

Not the symptom the alert named. The thing underneath it.

04

Drafts a candidate fix

A concrete change, not a suggestion to investigate further.

05

Runs it in a sandbox

If the fix resolves the failure, the diagnosis was right. If it doesn't, the triage says so before a human spends an hour on it.

Nothing is auto-applied. The sandbox run exists to raise the confidence of the triage a person finally reads — not to close the ticket on its own. An agent that ships unreviewed fixes into a production CRM is a different and much worse product.

It runs against our internal product environment today. Development continues through 2026, toward a team expansion to take it product-ready. Built with Claude and Codex, across AWS and GCP.

Languages

Native in three, professionally for eight years

Not "business level." I grew up and went to school in Korea, took my degrees in Japanese at Ritsumeikan, and work in English daily. All three are the language I think in, depending on the room.

Before engineering, this was the job. From 2016 to 2024 I worked as a simultaneous and consecutive interpreter — Korean cultural institutions in Japan, industry conventions, game-industry events. Live, in front of an audience, no second draft. You learn a specific discipline there: stay exact while you are under time pressure, and never let the pressure reach your voice.

That turns out to be the same discipline a production incident call asks for, which is not something I expected when I was doing it.

Also built

Websidian

A personal knowledge and operations web application — roughly 11,800 lines of Python and JavaScript, zero runtime dependencies, no external requests. It builds to a single self-contained index.html that still opens from file:// if nothing is serving it.

Free-text captures land in a shared inbox and are turned into typed CSV rows by purpose-built Claude Code skills; the site renders those rows as fifteen independent slices. The interesting constraint is that the contract is the data layer, not the prompt — a skill can be rewritten entirely and the pages still render, because what they agree on is the shape of a row. The test suite fails the build when the documentation and the actual file tree disagree in either direction.

Background

How I got here

2026 –
AI Engineer, Product Development — Softbrain Co., Ltd., Tokyo AI team of two full-time and five partner engineers. AgentOps.
2026
M.S. Computer Science — Ritsumeikan University Thesis: Optimizing EPR Allocation Using Double Auction in Quantum Networks. The network simulator was built from scratch in Python rather than adopting an existing framework.
2024
B.E. Information Science and Engineering — Ritsumeikan University
2021
Security Camp NEXT — IPA, Japan Selective national program in low-level networking and security engineering.
2016 – 2024
Freelance simultaneous and business interpreter — Korean ⇄ Japanese ⇄ English
Tools
Python, JavaScript, Go, C, React · AWS, GCP · New Relic, CloudWatch Agentic pipelines, autonomous context-gathering, sandboxed validation, LLM-as-judge evaluation.
Contact

Reachable in any of the three