16+ years working across complex CRMs, QA and test automation, integrations, and pro-active product support. I work at the intersection of engineering, product, and AI-assisted delivery — building practical systems that turn messy business workflows, product context, and codebase knowledge into clearer plans, better software, and faster team execution.
View Selected Work
My career has always led me to engaging within all facets of engineering, product, and customer needs. I started in enterprise support, moved into QA and automation, and eventually into software engineering — not to leave the customer-facing work behind, but because I wanted the technical depth to actually solve the problems I was seeing. That path gives me something most engineers don't have: I can write the code, run the demo, shape the requirements, and explain the tradeoffs to a non-technical stakeholder in the same conversation.
Lately I've been focused on AI-assisted engineering and product workflows — using Claude, Cursor, MCP, and agent-style processes to turn Jira tickets, documentation, codebase context, and product requirements into clearer acceptance criteria, implementation plans, and review support. I care about AI as practical infrastructure for better delivery, not novelty.
I've been building repeatable AI-assisted workflows that help engineering and product teams move from vague requirements to clearer implementation. These aren't one-off prompts — they're systems that use product context, codebase structure, and team standards as inputs to reduce ambiguity, improve planning quality, and create better handoffs.
Built AI-assisted planning flows that analyze Jira tickets, product requirements, and codebase context to produce implementation plans, acceptance criteria, edge-case notes, and technical documentation — reducing ambiguity and improving handoff quality.
Designed a multi-agent Claude-based review system with specialized frontend, backend, database, and QA reviewer agents to improve code review depth, identify architectural risks, validate platform standards, and provide structured feedback.
Used MCP and filesystem access to make product docs, implementation notes, and codebase context available as a searchable, AI-readable resource for planning, onboarding, and cross-team decision support.
Built a practical AI workflow using Claude, Cursor, MCP, and filesystem access to connect Jira tickets, product documentation, and codebase context — generating implementation plans, acceptance criteria, and technical docs as repeatable team infrastructure.
View details →Served as primary frontend engineer and informal product owner for an internal campaign platform used by a 34-person digital marketing team managing 3,000+ client accounts and $784K+ in ad spend.
View details →Led redesign and refactor work across contact pages, filtering, and action systems — including a Vue 2 to Composition API migration — while preserving permissions, communication states, and business-critical legacy behavior.
View details →Reconciled SQL and Elasticsearch query behavior so segmentation, permissions, and contact visibility matched intended business rules across legacy and modern systems.
View details →Senior Software Engineer · 2023–Present
Leading frontend and full-stack product work at a platform serving 200,000+ daily users. Built multi-agent AI review and planning workflows, owned complex features end-to-end, partnered with product leadership on roadmap decisions using behavioral data, and created architectural documentation for cross-team initiatives.
Software Engineer II · 2017–2023
Contributed across frontend and backend on a CRM platform serving tens of thousands of real estate professionals. Worked directly with product and leadership to shape workflow-heavy features, traveled on-site to brokerages, delivered product demos and technical training, and acted as technical liaison during client escalations.
QA Engineer → Associate Software Engineer · 2013–2017
Progressed from manual QA into automation and engineering through multiple promotions. Built and maintained a Cucumber/Ruby/Selenium test framework, helped shape lead-routing and assignment workflows, and shipped a Scala-based mobile app with AWS integrations under active delivery pressure.
Support Specialist → Senior QA Analyst · 2010–2013
Selected to work directly with early users of a newly built ticketing platform — gathering bugs, explaining product behavior, and translating feedback into structured input for product, design, and engineering. Advanced to Senior QA Analyst during a high-stakes early rollout.
Appalachian State University
B.A. Electronic Media & Broadcasting · Minor in Business
The Iron Yard
Ruby & Application Development
Stanford Online
Introduction to Databases
Certified ScrumMaster
CSM · Scrum Alliance
AWS ML Engineer Associate
In Progress · AWS Skill Builder
If you're building something interesting — especially at the intersection of product, engineering, and AI tooling — I'd love to connect. Always up for thoughtful conversations about making software delivery better.