Hi, I am Lola.
QA Engineer | Data & AI Enthusiast | Open-Source Contributor
I am a Quality Assurance Engineer with 7+ years of experience ensuring software reliability, data accuracy, and end-to-end system quality. My work focuses on building robust testing pipelines, data validation frameworks, and automation tools that make technology more trustworthy.
I am especially passionate about how AI and data can be tested, validated, and applied responsibly to help bridge the gap between cutting-edge innovation and real-world reliability.
What I Do
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Quality Engineering – building and validating test automation frameworks.
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Data Quality & Cleaning – ensuring clean, reliable datasets for analytics/AI.
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Dashboards & Visualization – turning QA and data insights into clear, actionable stories.
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Collaboration – contributing to open-source and volunteering in data-for-good projects (e.g., DataKind UK, Omdena).
Current Projects
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AI Resume Formatter (WordPress Plugin Suite) – AI-powered resume optimization and ATS-friendly exports.
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Ransomware Impact Prediction – research project applying machine learning to healthcare cybersecurity.
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QA + AI Experimentation – building small open-source tools to test ML model reliability and fairness.
What I’m Learning
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Advanced data analytics & machine learning workflows.
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AI testing methodologies (bias detection, explainability validation).
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Scaling QA practices into data-driven ecosystems.
Let’s Connect
📬 Reach me via GitHub Issues or Discussions!
⭐️ Fun fact: I see QA as more than “finding bugs” — it’s about building trust in technology. Whether it’s AI, analytics, or enterprise apps, my goal is to make systems you can rely on.