Cut shipping time 40% with a production multi-agent system built around governance, not demos. Confidential client engagement.
Designed and deployed a multi-agent system covering the full product lifecycle: PRD generation → system design → multi-repo execution → code review → compliance/security checks → release management. Shipping velocity improved 40% across cross-functional teams.
Built on a Backstage-based engineering knowledge base with MCP connectors to JIRA, GitHub, Slack, and Teams; LLM workloads on OpenAI and Anthropic via A2A-style agent orchestration, implemented in Python/Bash tooling.
Shipped with an enterprise AI governance layer: hallucination detection with knowledge-base remediation, model drift monitoring, and audit logging for regulated environments.
0 likes · 0 views · Oct 18, 2026
Cut shipping time 40% with a production multi-agent system built around governance, not demos. Confidential client engagement. Designed and deployed a multi-...
