JINSEOK SEOK โ Software, Cloud & Automation
Software & DX Engineer
Cloud ยท Automation ยท Data ยท Web
I turn operational needs into maintainable software,
developer workflows, and safe automation.
๐ฐ๐ท Korean โ Native โข ๐ฏ๐ต Japanese โ Daily Work โข ๐ English โ Technical Documentation
Featured Work โข Experience โข Repositories โข GitHub
I am a software and DX engineer based in Japan. My engineering work bridges business operations and engineering: translating operational requirements into maintainable software, cloud systems, and developer automation that remain robust long after initial release.
๐ฐ๐ท ํ๊ตญ์ด / ๐ฏ๐ต ๆฅๆฌ่ช ์์ฝ (Click to expand)
๐ฐ๐ท ํ๊ตญ์ด: ํ๊ตญ ์ถ์ ์ผ๋ก ์ผ๋ณธ์์ ๊ทผ๋ฌดํ๋ ์ํํธ์จ์ด ๋ฐ DX ์์ง๋์ด์ ๋๋ค. ๋น์ฆ๋์ค ์๊ตฌ์ฌํญ์ ์ ์ง๋ณด์ ๊ฐ๋ฅํ ์ํํธ์จ์ด, ํด๋ผ์ฐ๋ ์์คํ , ๊ฐ๋ฐ ์๋ํ๋ก ๊ตฌํํ๋ฉฐ ๋งฅ๋ฝ๊ณผ ๊ทผ๊ฑฐ๊ฐ ๋จ๋ ์์ง๋์ด๋ง ์ํต์ ์งํฅํฉ๋๋ค.
๐ฏ๐ต ๆฅๆฌ่ช: ๆฅๆฌใๆ ็นใซๆดปๅใใใฝใใใฆใงใขใใใณDXใจใณใธใใขใงใใๆฅญๅ่ฆไปถใไฟๅฎๆงใฎ้ซใใฝใใใฆใงใขใใฏใฉใฆใใทในใใ ใ้็บ่ชๅๅใธใจ่ฝใจใ่พผใฟใๆ็ถๅฏ่ฝใช้็บใฏใผใฏใใญใผใๆง็ฏใใพใใ
Repository Lifecycle & CI/CD Governance Framework
An engineering initiative designed to make repository conventions, lifecycle management, and CI/CD governance explicit, reviewable, and automated.
flowchart TB
Ops["Operational Requirements"]
Boilerplate["Soku-Convention-Boilerplate<br/>Public Convention & Lifecycle Entrypoint"]
ControlPlane["ci-cd-control-plane<br/>Central Governance & Pipeline Contracts"]
Repos["Target Product Repositories"]
Ops --> Boilerplate
Boilerplate --> ControlPlane
ControlPlane --> Repos
- Soku-Convention-Boilerplate
[Public]- Role & Architecture: Public convention entry point owning the lifecycle, manifest schema, managed-file ownership model, and generic provider boundary.
- Tech Stack:
TypeScriptGitHub ActionsShell
ci-cd-control-plane[Private ยท Selected details]- Role & Architecture: Central governance repository defining versioned pipeline contracts and declarative CI/CD provider boundaries.
- Tech Stack:
GoCloud ArchitectureDeclarative Pipelines
Desktop Media Packaging & Processing Tool
- Objective: Privacy-first, local-first media packaging without cloud uploads.
- Engineering Highlights: Secure local processing via Electron desktop wrapper with native FFmpeg streaming pipelines.
- Tech Stack:
TypeScriptReactElectronFFmpeg
Declarative Architecture Modeling & Load System
- Objective: Declarative architecture visualization and simulated load-scenario verification.
- Engineering Highlights: Parses declarative YAML system models into visual topologies with simulated throughput verification.
- Tech Stack:
GoReactYAML
Automated Business Intelligence & Reporting Pipeline
- Objective: Automated operational data aggregation and multi-source reporting.
- Engineering Highlights: High-reliability batch data transformation, sheet synchronization, and reporting automation for business operations.
- Tech Stack:
JavaScriptGoogle Apps ScriptGoogle Sheets
Multilingual Cloud Portfolio Platform Prototype
- Objective: Type-safe multilingual portfolio platform with decoupled cloud backend.
- Engineering Highlights: Type-safe multilingual rendering, executable validation, and serverless integration.
- Tech Stack:
AngularGoGCP
TypeScript Go Python JavaScript
- Practical & Professional Experience: Business workflow automation, cloud systems (Google Cloud, Google Workspace / Apps Script), operational software.
- Project Engineering: Web and desktop applications (React, Angular, Electron), declarative data modeling, media processing pipelines.
- Current Engineering Focus: Repository conventions, CI/CD governance, lifecycle tooling (Soku ecosystem).
- Languages used across work and projects: TypeScript, Go, Python, JavaScript.
Engineering quality is defined by predictable delivery, testable code, and transparent collaboration:
- Issue-first: Every task begins with clear intent, scope definition, and explicit acceptance criteria before implementation.
- Contract-first: Interfaces, API schemas, and data structures are formally defined to ensure decoupled, testable components.
- Verification-centered: Code changes are backed by automated tests, type validation, and concrete execution evidence.
- Explicit approval: Production releases, schema migrations, and security-sensitive configurations require deliberate human sign-off.
AI-Assisted Development: AI-assisted workflows adhere to the same review, linting, and testing standards as human-authored code.
- Live Status & Roadmap: Repository Operations ยท GitHub Project #2 is the source of truth for current status and priorities.
- Location: Japan ๐ฏ๐ต
Readable conventions ยท Safe automation ยท Verifiable delivery