Hi there 👋

I'm a Lead AI Engineer at IBM's Watsonx.ai Solution Architecture Center of Excellence, building enterprise-scale RAG systems, agentic workflows, and LLM inference infrastructure. With 9 years building production ML systems, I work directly with Fortune 500 teams to take GenAI architectures from prototype to production, focused on retrieval quality, evaluation rigor, and real deployment constraints.

• Hybrid and multimodal retrieval (semantic + lexical, CLIP-based image search)
• Agentic workflows with LangGraph for multi-step, auditable pipelines
• Continuous eval systems for production RAG
• Serving open-weight LLMs efficiently on GPUs with vLLM

• Knowledge graph-native retrieval beyond flat vector search
• Multi-agent evaluation and trajectory-level reliability

Upcoming

• Building Multi-Modal AI Search Experiences at Scale with OpenSearch — IBM TechXchange 2026
• Building a Cloud-Native RAG Pipeline from Scratch: Docling Operator, KFP, and OpenSearch — KubeCon + CloudNativeCon North America 2026, Salt Lake City, UT, November 2026

Past

• From PDFs to Knowledge Graphs: Building Structured Document Intelligence with Docling-Graph — Applied Machine Learning Conference, Charlottesville, VA, April 2026
• Unlock Information from Tables, Images and Complex Docs — PyData Virginia 2025 (recording)
• Building Insightful Gen AI Workflows with watsonx.data — IBM TechXchange 2025, Orlando