Ben McNulty

Senior Software Engineer Full-Stack AI Implementation

Senior software engineer with 10+ years building reliable software, developer tooling, and onboarding systems that make complex products easier for humans to use and easier for AI systems to operate against.

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Summary

Senior software engineer with 10+ years building reliable software, developer tooling, and onboarding systems that make complex products easier for humans to use and easier for AI systems to operate against. Strong background across full-stack engineering, QA automation, internal documentation, and context-rich workflows that turn scattered knowledge into reusable team infrastructure. Especially effective where software, explanation, testing, and AI-assisted delivery meet.

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 of that role, I build non-commercial AI tooling and agent workflow experiments — open-source prototypes focused on context design, developer ergonomics, and human-in-the-loop control, built through iterative pairing with Codex and Claude Code.

Skills

Context & Documentation Systems

  • Technical documentation, developer onboarding, internal knowledge tools
  • Requirements translation, reusable guidance, agent-facing context design
  • Release readiness, cross-functional alignment, remote-first execution

AI Workflow Engineering

  • Agentic workflow design, prompt strategy, context engineering, human-in-the-loop control
  • Rules, Profiles, and Prompts authoring for team-level AI governance
  • Codex + Claude Code collaborative build and repository-level AI configuration

Full-Stack Engineering

  • JavaScript, TypeScript, HTML, CSS, SQL/NoSQL, C#, PHP
  • React, Next.js, Node.js, REST APIs, Firebase, WordPress
  • System integration, API contracts, release readiness

QA Automation & Reliability

  • Playwright, Selenium, cross-driver adapter patterns (VB.NET, C#)
  • Test strategy, coverage planning, regression triage, manual-to-automated conversion
  • Cross-browser coverage, quality reporting, deterministic validation

Experience

QA Automation Engineer III · Government Software Contractor

  • Lead AI integration strategy organization-wide, authoring a version-controlled governance library — Rules, Profiles, and Prompts that ship with test code — to standardize review quality and keep AI-assisted output reproducible.
  • Architected a legacy VB.NET-to-C# test migration on an adapter pattern that runs both Selenium and Playwright, decoupling test logic from drivers to unlock cross-browser coverage without rewrites.
  • Built an internal documentation app that measurably cut onboarding time to the codebase and AI tooling.
  • Drive weekly regression triage end to end, converting manual test paths into durable automated coverage for a mission-critical public-sector system serving millions.

Independent Web Developer · Ben Live / McNulty Web Apps

  • Delivered responsive full-stack web projects from first client conversation through deployment, support, and iteration.
  • Built reusable testing, documentation, and UI patterns that made small projects easier to maintain and faster to extend.
  • Translated ambiguous business requests into practical implementations across frontend, backend, and deployment work, working directly with clients on design direction and usability.

Personal Projects & Open Source · Independent, Non-commercial

  • Build non-commercial AI tooling, agent workflow experiments, and open-source prototypes focused on context design, developer ergonomics, and human-in-the-loop control.
  • Built and published Promptfolio, a catalog of 15+ iteratively refined Custom GPTs — including a Prompt Engineer / Prompt QA / Red Team trio that applies review-and-adversarial-testing discipline to prompt design itself — each documented with a scoped role and usage guidance.
  • Explore ways to make AI-assisted software work more reproducible through better prompts, clearer constraints, and reusable workflow scaffolding.

Frontend Engineer · Menuat · SaaS Startup

  • Shipped dynamic digital menu systems from concept to cloud-hosted production, owning frontend animation, content tooling, deployment, and support.
  • Delivered 100+ commercial menu-board layouts across convenience-store and fast-casual chains, tuning layout and density for diverse display hardware.
  • Bridged users, design, and backend teams as the frontend intermediary, translating brand requirements into responsive, accessible on-screen experiences.

Full-Stack Developer · Enix Networks

  • Built responsive, mobile-optimized client websites in PHP, HTML5, CSS3, and JavaScript, working directly with clients on design strategy and rapid prototyping.
  • Programmed PHP page servers, contact forms, and data-security processes; ran cross-platform usability assessments before launch.

Selected Projects

  • AI Lab Product Suite

    Designed and implemented modular AI workflows with structured prompts, deterministic controls, and human approval checkpoints.

  • Pre-Deployment Quality Pipeline

    Built test and review flows that catch regressions across responsive layouts, model routing, and core interaction paths.

  • Portfolio UX & Typography Passes

    Implemented advanced light/dark visual systems, accessibility improvements, and motion tuning with production-safe test coverage.

  • Promptfolio

    Independent, iteratively refined catalog of Custom GPTs — including a Prompt Engineer / Prompt QA / Red Team trio that applies review-and-adversarial-testing discipline to prompt design itself.

Education

St. Johns River State College

Humanities, sociology, psychology, statistics, and technical foundations supporting clear communication and analytical reasoning.

University of South Florida

Creative and technical writing, interaction design, and research on UI considerations for emerging input technologies.

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