Senior data & AI platforms for high-stakes environments.
Direct engagements across gaming, financial services, defense, and entertainment. Delivered into Fortune-class end-customers.
Riot Games ·Databricks ·General Dynamics ·Aerial Insights
Selected work
- $3M/yr compute reduction at petabyte scale
Re-architected core PySpark ETL on Databricks; led the dbt migration; built an AI-assisted code-review tool that won the internal hackathon and entered production use.
-
Lead authority on enterprise customer engagements.
Embedded with a Fortune 100 entertainment client. Reference architectures, migration frameworks, dbt integration, AI/ML productionization. Field input back to Databricks engineering.
-
Patent-pending CV stack for aerial-imagery roofing detection.
Shipped Gen 1 + Gen 2 to production. Inventor on USPTO provisional 63/868,030 — discontinued shingle detection from satellite imagery. Equity stake retained post-handoff.
Engagements
-
Data Platform Assessment
2–4 weeks
Paid discovery that produces a real deliverable: current-state audit, future-state architecture, phased plan, cost projection.
-
Lakehouse Architecture & Build
4–10 weeks
Production-grade lakehouse on Databricks. Medallion layers, Delta tables, IaC, dbt where it fits. Milestone-based delivery, runbook + support window.
-
AI/ML Engineering
2–8 months
Production AI systems end-to-end: feature pipelines, training infra, inference serving, RAG/agents. Most AI projects fail on data infrastructure, not models — this engagement covers both.
-
Fractional CTO
Ongoing · 3-month minimum
Senior technical leadership for strategic decisions — architecture, hiring, roadmap, board diligence — without the full-time hire.
Background
- US Secret clearance (interim, DoD, 2025)
- USPTO provisional 63/868,030 — computer vision, patent-pending
- BS Computer Science, UC Riverside
- LangChain SEC tool — OSS contributor