QA Automation emphasis
Focused on reliability engineering, AI-assisted test authoring, cross-driver migration strategy, and governance patterns that help teams maintain quality at speed.
Forward Deployed Engineer AI Implementation Full-Stack
Forward-deployed engineer with 10+ years turning ambiguous client requirements into reliable production systems — pairing full-stack execution with QA rigor and AI-workflow governance to keep output reproducible.
Forward-deployed engineer with 10+ years turning ambiguous client requirements into reliable production systems. I embed with teams to ship AI-enabled tooling end to end — pairing hands-on full-stack execution with the QA rigor and AI-workflow governance that keep output reproducible. Equally at home architecting the system and standardizing how a team builds with AI — turning one-off builds into repeatable, production-grade delivery.
As a QA Automation Engineer III, I lead the AI integration strategy for my QA team: authoring a version-controlled governance library, modernizing legacy test infrastructure on an adapter pattern, and coaching teammates on effective AI-assisted workflows.
Outside enterprise work, I run an independent AI development practice — delivering client web projects and AI-enabled products through iterative pairing with Codex and Claude Code, keeping outputs reproducible and projects quick to start.
Focused on reliability engineering, AI-assisted test authoring, cross-driver migration strategy, and governance patterns that help teams maintain quality at speed.
Focused on end-to-end ownership: frontend architecture, backend integration, data contracts, and delivery cadence.
Focused on responsive systems, interaction quality, accessibility, and maintainable UI implementation details.
Focused on AI adoption leadership, standards-setting, mentoring, cross-functional communication, and measurable engineering outcomes.
Focused on agentic workflow design, prompt strategy, repository-level context engineering, and human-in-the-loop control points.
Designed and implemented modular AI workflows with structured prompts, deterministic controls, and human approval checkpoints.
Built test and review flows that catch regressions across responsive layouts, model routing, and core interaction paths.
Implemented advanced light/dark visual systems, accessibility improvements, and motion tuning with production-safe test coverage.
Humanities, sociology, psychology, statistics, and technical foundations supporting clear communication and analytical reasoning.
Creative and technical writing, interaction design, and research on UI considerations for emerging input technologies.