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# Resume introduction feedback — security-data identity
AI Summary
Purpose:
- Preserve the user's correction that the targeted resume introduction must lead with the domain and data being handled, not only a list of infrastructure tasks.
Key points:
- Hyunwook works with software-supply-chain security data and performs vulnerability analysis.
- The introduction should name the data: open-source package metadata and versions, repositories/source/patches, binaries, licenses, CVE/OSV and Linux-distribution advisories.
- The story should connect vulnerability-data collection and validation to the later systems responsibilities required to keep that data current and deliverable.
- Avoid a short “I did X, Y, Z” list. Explain why infrastructure ownership grew from the security-data work.
Relevant when:
- Writing a resume introduction, portfolio bio, role-transition explanation, or Systems Engineer application summary.
Do not read full document unless:
- Exact wording or the evidence boundaries for the introduction are needed.
Linked documents:
- [[../../wiki/people/career-timeline.md]]
- [[../../wiki/projects/vulnerability-collection.md]]
- [[../../wiki/projects/data-platform-systems-engineering.md]]
- [[2026-07-14-toss-systems-engineer-user-history.md]]
Open Questions
- None for the domain identity. Future application versions may choose a shorter or longer form depending on page space.
Details
User feedback (Discord message 1527164428401901628, 2026-07-16): the previous introduction was too short and read like a list of completed tasks. It did not say what data was handled or establish a career story. The introduction must state that Hyunwook works with software-supply-chain security data and performs vulnerability analysis.
Verified evidence used for the rewrite:
- Multi-ecosystem package/version collection: Maven/Java, npm/JavaScript, PyPI/Python, Go, NuGet/.NET and other ecosystems.
- Vulnerability sources and analysis: CVE, OSV, Linux-distribution advisories, file/function patch data, version-range mapping, false-positive/false-negative validation, and customer OS-image review.
- Prioritization: CVSS plus CWE, PoC and actual product-analysis signals.
- Systems bridge: more than 80 crawlers, Airflow/Kubernetes scheduling and capacity, common DB-access boundaries, object storage, backup, monitoring and customer delivery.