Ivy Risenga

I don’t just find bugs , I design the quality systems that prevent them from ever reaching production.

With 14+ years at First National Bank one of Africa’s largest financial institutions serving 10M+ customers , I’ve led quality engineering across high-scale web, mobile, API, and cloud data platforms in complex, regulated fintech environments.

My work spans the full stack:

From building Selenium/Java automation frameworks and leading API validation, to validating AWS data pipelines (S3, Athena, Redshift) using Python and SQL.

More recently, I’ve expanded into AI and GenAI quality testing LLM-based bots and intelligent systems for hallucinations, edge cases, response consistency, and data integrity across structured and unstructured outputs.

Results I’m proud of:

Reduced production defect leakage by 40% through strengthened API and backend validation

Improved cloud data accuracy by 60% via automated AWS dataset validation

Cut regression execution time by 30% by building and owning a Selenium automation framework

Increased overall test coverage by 35% through automation and BORT optimization

Led distributed Agile teams remotely while maintaining high release confidence

I’ve worked fully remote since 2019, mentoring engineers, owning release quality, and collaborating across time zones. I operate comfortably at the intersection of automation, data engineering, and AI system validation.

I’m ISTQB certified, AWS Cloud Practitioner (in progress), and deeply curious about how quality evolves in AI-driven systems.

I am also expanding into marketing technology QA validating MarTech stacks, campaign data pipelines, and AI-powered marketing systems. My financial services data quality background maps directly to the marketing analytics and attribution challenges that scale-up companies face