Open to opportunities

William Morris

@waaronmorris

Message

Full-Stack Data Engineer bending toward AI Engineering

United States

Message

What I'm looking for

I’m looking to build enterprise-grade AI products—reliable LLM agents with AI observability, typed validation, and evaluation-driven quality—while shipping full-stack features on scalable, high-performance backends.

I build production AI systems, including LLM agents and observability platforms, across Python, TypeScript, React, and Go. I focus on agent engineering and reliability patterns that reduce hallucinations through structured validation, evaluation, and production-reliability design.

In my recent role, I shipped an enterprise AI observability approach by building MCP servers that expose BigQuery schemas as developer tooling. I also engineered “Agent Eddie” with a dual-agent architecture, memory-backed conversations, and typed tool integration for real-time quote retrieval.

Across my background, I’ve architected 30+ production microservices, delivered end-to-end product features, and built scalable backend services with sub-second response times. My work brings together clean/hexagonal architecture, telemetry and evaluation-driven observability, and full-stack delivery for AI teams that need dependable outcomes.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Just Insure

Jan 2022 - Present (4 years 5 months)

Built MCP servers exposing BigQuery schemas and evaluation-validated SQL to reduce LLM hallucinations in generated queries. Engineered Agent Eddie with Mastra dual-agent workflows and architected 30+ microservices in TypeScript/React and Python/FastAPI delivering sub-second responses on telemetry and pricing data.

Model Context Protocol (MCP)BigQuery Mastra PydanticAI fastAPI TypeScript React Clean Architecture

Senior Audit Analyst

National General Insurance Company

Mar 2016 - Dec 2021 (5 years 9 months)

Architected an AI observability platform processing millions of records in real time using ML-driven anomaly detection. Built scalable backend services that replaced manual monitoring for enterprise-grade observability.

Observability Anomaly Detection Backend Services Enterprise Monitoring Reliability Engineering

Business Intelligence Analyst

Rogue Credit Union

Mar 2015 - Mar 2016 (1 year)

Architected and engineered an enterprise Kimball dimensional data warehouse to enable self-service analytics for all business units. Built SSIS-based ETL pipelines, led organization-wide Tableau reporting and training, and conceptualized a loyalty Rewards Platform integrating transaction data with tiered reward calculations.

Data Warehousing Tableau SSIS ETL Data Integration Data Modeling