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#Vector Search 1 item linked

Case studies, ventures, and publications tagged with Vector Search across Samuel Mofrad's architecture portfolio.

Architectural Case Studies (1)

Samuel Mofrad

softwork.ing Enterprise AI Agent & Cloud Orchestration Platform

Architected and deployed enterprise-grade Model Context Protocol (MCP) server hubs enabling secure, bi-directional tool execution between autonomous LLM agents and internal client backends.

• Architectural Implementation:
  • Engineered JSON-RPC 2.0 transport layers over stdio and SSE with strict mutual TLS (mTLS) and token-based client authentication.
  • Integrated semantic vector indexing (Qdrant & pgvector) allowing autonomous multi-agent systems to safely query repositories, Jira, and databases.
  • Deployed fault-tolerant agent runners on Kubernetes with isolated sandboxing to prevent prompt injection and unauthorized API lateral traversal.
  • Established repeatable agentic delivery playbooks connecting enterprise clients with elite engineers through the softwork.ing talent network.
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Verified Architecture • European Enterprise
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