AI Architect building production autonomous agent platforms with hybrid structured/unstructured deep research, MCP Protocol, and enterprise-grade security.
15+ years building production autonomous agent platforms for Fortune 500 organizations across energy, market research, healthcare, pharma, and fintech.
Core differentiator: hybrid structured/unstructured deep research orchestration — fusing Vertex AI Search with BigQuery (CHASE-SQL NL2SQL) through intelligent intent routing. Expert in MCP Protocol, Google ADK multi-agent orchestration, Milvus distributed vector search (100M+ scale), and container security (CVE triage, Distroless, SQL injection prevention).
Production agents with MCP (FastMCP/StreamableHTTP), deep research pipelines, intent routing, multi-agent collaboration.
Vertex AI Search + BigQuery (CHASE-SQL) fusion. 6-route intent routing, relevancy reranking, web grounding with DLP.
26 CVEs triaged, Distroless Docker, SQL injection prevention, DLP guards, zero-trust IAM, supply chain security.
Milvus distributed (IVF_FLAT/HNSW), sub-50ms @ 100M+ embeddings, gRPC mesh, K8s auto-scaling.
Gemini/GPT, RAG, PEFT/LoRA/QLoRA, prompt engineering, multi-domain prompts, hallucination detection, guardrails.
GCP/Azure/AWS. OpenTelemetry, Cloud Trace, structured logging. CI/CD, Terraform, reproducible builds.
Enterprise Technology · MCP Protocol · Vertex AI Agent Engine
// Multi-MCP Agentic System User → Agent Engine (Vertex AI / ADK) ├── LlmAgent (Gemini 2.5, temp=0) │ ├── Looker MCP (8 tools, FastMCP/StreamableHTTP) │ ├── Custom MCP (semantic cache search) │ └── Local Tools (data trail, headers) ├── Conversation Service (Firestore) └── Response → User // Security: 6-layer (network→ingress→IAM→token→MCP→SSL) // CVE: 26 triaged, Distroless (64→9 packages)
Global Market Research · Hybrid Vertex AI Search + BigQuery · CHASE-SQL
// Multi-Agent Deep Research with Business-Driven Routing User Query → Greeting Agent (welcome, context setup) → Intent Classifier Agent (route detection) │ ├── BUSINESS_ANALYTICS | DEEP_RESEARCH | HYBRID_INSIGHT │ ├── TEXT_ANALYTICS | SOCIAL_LISTENING | CHITCHAT │ └── Fallback → escalation handler → Research Planner Agent (RESEARCH_TOPIC: model-driven) → Section Researcher Agent │ ├── Vertex AI Search (EnhancedTool + relevancy reranking) │ └── BigQuery (CHASE-SQL: decompose→classify→generate→post) → Web Evidence Agent (dual-gate DLP: UI toggle + Remote Config) → Grounding Validator (hallucination check via metadata) → Report Composer Agent (citations: src-N, web-N) // Prompt Templates: versioned per-domain (persona, sql, ux_rules) // Feedback Loop: response grading + prompt refinement pipeline
Enterprise Semantic Search · Kubernetes · gRPC · 100M+ Embeddings
Distributed Milvus on K8s with IVF_FLAT/HNSW indexing, gRPC mesh for sub-50ms retrieval, HPA auto-scaling, health probes. Integrated as RAG backbone for agentic applications.
Clinical Intelligence · PHI Redaction · HIPAA · Medical Imaging
Transformer extractive/abstractive summarization of clinical notes. NER-based PHI redaction (87%). CT tumor segmentation (U-Net). HIPAA-compliant pipelines. Health Bot integration.
67+ repositories: agentic AI, MCP implementations, RAG pipelines, ML artifacts.
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