Principal
AI
Architect

Leading organization-wide AI transformation across 220+ engineers and 25 teams. Q1 2026: 90.6% adoption sustained 7 consecutive weeks, 55.2 developer-years recovered, 59.3% Productivity Index improvement year-over-year.

AI ticket resolution system validated via semantic similarity analysis across 12,117 matched pairs. Three independent methodologies converge on 87–97 builder-years saved in Q1 2026 alone (p < 0.001, 33 resolver groups).

Principal AI Architect across three interconnected production GenAI services: vector search RAG retrieval, LLM content evaluation framework (4 quality dimensions), and self-service content analysis portal. Named security guardian on 5 platform reviews.

Built independently end-to-end: three-layer DuckDB architecture, 4 MCP integrations, 14 production SOPs. AppSec documentation from 80+ hours to under 1 hour. SAA compliance assessments from 120+ hours to under 1 hour. Top performer in Q1 2026 productivity package.

Transformed petabyte-scale data platform from monolithic to self-service model. Eliminated 2–4 week wait times for 20+ BI engineers. Delivered $450K in 2025 with $420K/year infrastructure savings on legacy decommission. Zero post-launch security findings.

AI-powered data discovery platform eliminating weeks of manual data relationship investigation. Contributed to prototype knowledge base metadata collection, architecture design, LangChain agent implementation, and served as named security guardian. NLP-to-SQL over Neptune knowledge graph and lineage system.