Senior Data Scientist

810 years in data science with strong experience designing and delivering agentic AI solutions.

Hands-on expertise in RAG, NLQ, summarization, prompt engineering, in-context learning, and autonomous agent design.

Strong experience building and deploying single-agent and multi-agent systems using frameworks such as LangGraph and Semantic Kernel; for a more current market ask, replace AutoGen with Microsoft Agent Framework, since AutoGen is now in maintenance mode.

Experience integrating tools and enterprise systems through function/tool calling and MCP (Model Context Protocol) based architectures.

Proven capability in LLM evaluation, including LLM-as-a-judge, regression testing, quality benchmarking, hallucination reduction, and guardrail implementation.

Experience in Pydantic AI, building production-safe AI applications with guardrails, policy controls, observability, and human-in-the-loop workflows.

Able to work independently with client technical teams and drive solutioning with minimal oversight.

AWS preferred, especially Amazon Bedrock, including Agents, Guardrails, and evaluation capabilities.