Lucius Nwakamma
🎯 Data Analyst | Google-Certified in Data Analytics | Turning Data into Actionable Insights| Technical Product Manager| Products|
- Role
- Quality Assurance Tester at Applause
- Location
- New York, NY, US
- LinkedIn followers
- 500 followers
About Lucius Nwakamma
Lucius is a young man who plans, executes, and succeed. It’s just as simple as that.
Experience
Quality Assurance Tester
Aug 2023 — Present · US
Deliver comprehensive end-to-end quality assurance across high-profile products spanning AI systems, mobile apps (Android & iOS), web platforms, financial applications, and enterprise tools for clients including Meta AI, Google Chrome OS, Bank of America, ViacomCBS, Bally’s Corporation, and Nuvei etc. Collaborate with Product Managers, Test Engineers, and Test Team Leads (TTL) to align testing outcomes with product strategy, KPIs, and release goals in Agile environments.Testing Expertise & Scope • Functional & Usability Testing: Validate core workflows, feature sets, and user experience flows against acceptance criteria and product requirements. • Load & Performance Testing: Assess system scalability and latency under peak loads. • Security Testing: Identify vulnerabilities, validate encryption protocols, and ensure compliance with OWASP and client security benchmarks. • Localization Testing: Verify language translations, date/time formats, and cultural relevance across target markets. • Automation: Utilize scripts and frameworks to increase regression coverage and accelerate release cycles. • Customer Journey Mapping: Evaluate end-to-end user flows to detect friction points impacting retention. • Accessibility Testing: Ensure compliance with WCAG 2.1 standards using assistive tech tools. • Voice & AI Testing: Assess NLP accuracy, contextual understanding, and response quality for AI-driven products like Meta AI, identifying bias and training gaps. • Payment Instrument Validation: Test digital wallets, NFC transactions, and financial workflows for transaction accuracy.Key Wins & Impact • Meta AI: Led critical NLP accuracy testing, identifying bias in model outputs and providing dataset feedback that improved AI response accuracy. • Discovered high-severity defects in early test cycles for multiple Fortune 500 clients, preventing costly post-release patches. • Delivered actionable QA insights that influenced roadmap and future refinements.
Education
Virginia State University
Bachelor's degree, Computer Science
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