Mission: I bridge the gap between business ambiguity and technical reality. I specialize in designing Enterprise AI Roadmaps that align stakeholder goals with Google Cloud capabilities.
My value isn't just in building the model, but in ensuring the right model is built.
| Phase | My Focus & Responsibilities |
|---|---|
| Discovery & Advisory | Translating "We need AI" into concrete technical requirements (RFCs). Leading stakeholder workshops to define KPIs and Success Metrics. |
| Solution Architecture | Designing secure, compliant RAG & Agentic Systems on Vertex AI. Balancing cost vs. latency trade-offs (Serverless vs. Provisioned). |
| Project Management | Managing technical scope using Agile/Scrum. Mitigating risks (Hallucination, Data Privacy, Vendor Lock-in). |
| Governance | Establishing IAM policies, Org Policies, and Responsible AI guardrails for regulated industries. |
A high-level view of how I design secure retrieval systems for clients.
flowchart LR
User([Business User]) -->|Query| API[API Gateway / Cloud Run]
subgraph "Secure Zone (VPC)"
API -->|Orchestration| Agent[LangChain Agent]
Agent -->|Retrieve Context| VDB[(Vertex Vector Search)]
Agent -->|Generate Answer| LLM{Gemini Pro 1.5}
LLM -->|Audit Log| BQ[BigQuery Data Warehouse]
end
subgraph "Governance Layer"
IAM[Cloud IAM] -.-> API
IAM -.-> VDB
end
style User fill:#f9f,stroke:#333,stroke-width:2px
style LLM fill:#bbf,stroke:#333,stroke-width:2px
While I focus on strategy, I remain hands-on to validate designs.
- Cloud Platform: Google Cloud Platform (4y+ Exp)
- AI Stack: Vertex AI, Gemini, Dialogflow CX, Vector Search
- Management: Jira, Confluence, Technical RFC Writing