Embed, resell, or white-label AI security — OEM, scanner, MSSP, consulting, and reseller tracks are open now
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Canonical copy
Principal Architect / AI Systems Architect / Agentic SDLC Engineer Internal Product Designed and implemented a GitOps-oriented multi-agent SDLC automation platform where AI agents analyze repositories, propose fixes, remediate bugs, generate patches, validate outputs, score acceptance criteria, preserve audit trails, and route work through Git-based review workflows instead of opaque one-off chat sessions. Designed around Git-backed work records including issues, branches, commits, merge requests, reviews, acceptance criteria, and audit trails.
Public-safe caveat
This case study describes internal product and consulting architecture in public-safe terms. Private repositories, client names, code patches, prompts, model benchmark results, GitLab project names, credentials, and proprietary workflows are omitted.