Professional Overview
AI Quality Engineer and QA Automation Lead with 14+ years in testing. Sole QA on RE/MAX's SkyView AI launch (150,000+ users): released 187 tickets in 3 months, tested non-deterministic AI agent workflows, cut CI time 75% by moving 250+ tests to Playwright. Built AI agents that write and review tests. Playwright, TypeScript, Claude Code, GitLab CI.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Shipped production features end to end with Claude Code as primary dev agent
- Directed AI-generated code (~99% of features) with human review and validation
- Built QA automation and CI/CD review gates into AI-driven development
- Adopted new toolchain (Claude Code, YouTrack, ROAM) after Real + RE/MAX merger
Key Achievements / KPIs
- Expanded scope from QA ownership to full feature delivery
- Regression safety in place before AI-generated code shipped
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Sole QA engineer for SkyView AI platform launch serving 150,000+ agents
- Tested non-deterministic AI agent workflows and conversational AI integration
- Architected and owned GitLab CI/CD pipeline with merge and release gating
- Built QA-Agent + QA Lens: AI agents that write and review Playwright tests
- Built REST and GraphQL API suites and load tests with JMeter and Locust
Key Achievements / KPIs
- Released 187 tickets in under 3 months; platform hit 100+ markets in week one
- Cut CI time 75% (30 to 7 min) by moving 250+ Cypress tests to Playwright
- Moved to single-ticket deploys so every regression traced to one change
- Built TestRail integration with live Playwright result mapping
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Led go/no-go release testing across Roku, Android, iOS, Amazon and Chromecast
- SME for DISH set-top box and Sling TV applications
- Ran regression, UAT, exploratory, ad-insertion and VOD/IPVOD testing
- Authored test suites in HP ALM; documented defects in Jira and Confluence
Key Achievements / KPIs
- Found critical defects that helped grow Sling TV's PC user base 12%
- Recognized by project managers, Directors and SVPs for testing rigorAutomation
Education
Field of Study: Information Technology & Software Engineering
Areas of Expertise
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
