Automation architecture
I design risk-based automation across API, UI, and mobile layers to protect core journeys without creating brittle, slow suites.
Professional summary
What I bring to engineering teams
I have spent more than a decade building scalable QA frameworks, improving release confidence, and helping teams move from reactive QA workflows to intentional quality systems. My work has delivered 80% fewer post-release defects, 70% faster automated execution, and 20% faster delivery through stronger CI/CD and release practices.
I am especially effective in environments where quality needs to become more strategic: growing teams, complex product surfaces, and organisations trying to balance speed with reliability.
Strengths
How I typically create value
Quality operating models
I help teams shift from QA bottlenecks to shared quality ownership through coaching, standards, and clearer feedback loops.
AI-assisted workflows
I evaluate where LLM tooling can improve quality signal, documentation, and regression analysis without adding noise.
Experience
Career history
Lead Software QA Engineer, EIDU
- Led quality model transformation Introduced Quality Assistance, reducing post-release defects by 80%.
- Owned cross-platform automation strategy Improved execution speed by 70% across Android, web, and API coverage.
- Integrated quality into delivery systems Reduced time-to-market by 20% through CI/CD testing and release workflows.
- Introduced AI-assisted quality workflows Applied LLMs to documentation, acceptance criteria, and PR quality checks.
Software QA Consultant, Aleno
- Improved QA scalability Reduced testing cycle times by 40% and increased coverage by 60%.
- Raised deployment confidence Cut post-deployment defects by 60% through stronger readiness assessments.
- Strengthened quality feedback loops Introduced tooling and metrics that reduced critical defect frequency by 40%.
Software Engineer in Test, Incentro
- Improved coverage for enterprise systems Combined manual QA with SQL-based validation to increase coverage by 60%.
- Supported high-risk financial workflows Led regression initiatives and defect investigations for data-heavy applications.
- Bridged business and technical quality needs Worked closely with stakeholders to keep complex workflows reliable and usable.
Skills
Technical toolkit
Core stack
- Languages
- Kotlin, SQL, JavaScript, TypeScript
- Frameworks
- Selenium, Kaspresso, Playwright, JUnit, Cypress
- Tools
- Metabase, Coda, Sentry, Git, Jira, Postman, Testomat
- Platforms
- Android Studio, VS Code, IntelliJ IDEA, Xcode, AWS
Ways of working
- Leadership
- Quality coaching, stakeholder management, cross-functional collaboration
- Decision-making
- Risk-based prioritisation, release readiness, production-informed quality strategy
- AI & automation
- AI-assisted test generation, LLM-based PR regression checks, documentation generation, testing AI-powered features
Education
Education and certifications
- MBA Project Management, Daystar University, 2024
- BSc Computer Science, Masinde Muliro University of Science and Technology, 2013
- Project Management Professional Certificate, Google, 2023
- Certified Information Systems Auditor, KCA University, 2019