AI Solution Architecture

I architect AI that works inside real enterprise workflows.

AI solutions architect who embeds with client teams to move unclear AI problems into tested prototypes, reference architectures, adoption plans, and production workflows. Hands-on across Python, SQL, RAG pipelines, agent orchestration, and cloud delivery.

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~40%

Less manual effort via Data Lighthouse

~30%

Higher data accuracy

Clients with deployed AI workflows

Selected proof points

Embedded with client teams to turn unclear AI and data problems into working prototypes, delivery plans, and production-ready workflows.

Built RAG-based assistants that search SAP, Salesforce, SharePoint, cloud data, and policy documents through natural language.

Developed agentic workflow patterns using MCP and A2A concepts for data profiling, anomaly review, exception routing, and governance tasks.

Defined build-to-release steps for AI prototypes including backlog items, test cases, UAT scripts, IAM, and CI/CD-ready handoffs.

Tools & platforms

PythonSQLRAGVector searchMCP / A2AFastAPISnowflakeDatabricksAzure OpenAIAWS BedrockVertex AI

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Technical Program & Product Management