Paul Luckey
Product Architect
pjluckey@gmail.com · pluckey.ai · github.com/pluckey · linkedin.com/in/pauljluckey
Summary
Product architect with a background in psychology and over a decade of enterprise systems engineering. Currently focused on applied AI for risk management — knowledge retrieval, structured analysis, and real-time inference at scale.
What I Build
Rapid Prototyping
Problem to production-grade system in days — Cursor, Claude Code, Kiro, Vercel AI SDK
RAG & Knowledge Retrieval
Vector search, embedding pipelines, pgvector, Snowflake Cortex — built for how people actually search
Real-Time Analysis
Streaming inference, entity extraction, classification — orchestrated into information-dense dashboards
Multi-Agent Systems
Structured multi-perspective deliberation, expert panel orchestration, consensus synthesis
Enterprise Architecture
Microservices, API gateways, blue-green deployments, data pipelines at scale
Engineering Enablement
Training teams on LLM-assisted development, prompt engineering, modern workflows
Experience
Product Architect/Origami Risk
2025 – Present- Designing ambient AI for enterprise risk management — incident intelligence that augments safety reviewers with real-time NER, similarity search, and pattern detection
- Rapid prototyping production AI features using Cursor, Claude Code, and Kiro — concept to working system in days
- Training engineering teams on LLM-assisted development practices and emerging AI techniques
Solution Architect/Insperity
2023 – 2025- Built LLM semantic search with zero budget using Snowflake Cortex — transformed how 309k employees find information, 40% drop in search abandonment
- Built the RAG infrastructure — DBT pipelines, document chunking, embedding generation, cosine similarity retrieval — powering an agent used by 100+ specialists daily
- Designed API Gateway (YARP) with blue-green deployments — 99.9% uptime across 500k+ daily transactions
- Built data pipeline architecture with DBT for enterprise-scale HR data transformation
Senior Software Engineer/Insperity
2022 – 2023- .NET microservices at enterprise scale — schema design, RESTful APIs, query performance optimization
Software Engineer/Insperity
2021 – 2022Software Engineer/Enterprise Products
2019 – 2021Senior Consultant/Gimmal
2017 – 2018Consultant/Hitachi Vantara
2014 – 2017Stack
Education
B.S. PsychologyUniversity of Houston, 2012
Cognition, perception, and decision-making.