Principal Frontend / Fullstack Architect · UX · DX · AX · AI Evaluation
18+ years shipping production systems across government, healthcare, entertainment, and enterprise. Currently designing benchmark tasks and eval infrastructure for frontier LLMs (Terminal Bench / Anthropic, via marquez.ANGEL).
React TypeScript Node Python PostgreSQL Docker AI/AX Engineering AI Evaluation
Currently deep in AI-assisted engineering workflows, LLM benchmark design, and secure enterprise tooling (compliance, identity, and infrastructure-heavy systems for regulated industries).
A working set of self-directed builds — mostly rapid prototypes — used to explore architecture patterns, UI systems, and AI-assisted workflows end to end.
| Project | What it demonstrates |
|---|---|
| Classification | Document/data classification and access-control modeling |
| Inventory | Asset inventory tracking with CRUD, search, and status workflows |
| Posture | Security posture dashboard — visualizing risk signals and status over time |
| GRC | Governance/risk/compliance workflow app — audit trails, control mapping, evidence tracking |
| Sensors / Digital Twin | Real-time sensor telemetry rendered as a digital twin interface |
| Waveplate | Legacy system modernization concept — bridging SQL Server/.NET stacks with a modern React front end |
| AI Eval — Benchforge | Benchmark authoring and scoring tooling for evaluating LLM agent performance |
| Bitcoin Value OS | Terminal-style research dashboard — multi-source data aggregation and valuation modeling |
| Bill | Billing/invoicing workflow — line-item logic, calculations, and structured document output |
| Supplements | Personal health tracking app — scheduling, inventory, and history logging |
| Game | Small interactive build — UI/animation and state management outside a business-app context |
Principal-level engineer specializing in React architecture, design systems, developer experience (DX), and AI-assisted engineering (AX). Past work spans national labs (LANL, SNL, SRNS), federal contractors (NNSA), and consumer platforms (Disney+, Hulu, Medable). Currently building AI evaluation infrastructure for frontier model benchmarking.