Usama Khalil

SQA Engineer with 2+ years of experience in manual and automation testing across web, mobile, API, and AI chatbot applications, including hands-on localization QA for English and Arabic mobile apps as well as Urdu AI models (ChatGPT Codex).

Native

Urdu speaker with professional-level English proficiency, strong attention to linguistic detail, and proven ability to identify UI, functional, and content accuracy issues in localized software. Experienced in testing across Windows, Android, and iOS environments, with access to a Macbook (Apple Silicon, M-series) for secure testing environments.

AI Localization QA Tester (Freelance) at Acclaro (2026-07 – Present)

• AI Model LQA Testing: Executed end-to-end Localization Quality Assurance (LQA) testing for ChatGPT's Codex AI interface, validating Urdu target language adaptation, natural tone, and linguistic accuracy.
• UI & BiDi Layout Auditing: Identified and logged right-to-left (RTL) alignment issues, truncations, garbled characters, and font rendering defects on complex AI components using Mantis Bug Tracker.
• Linguistic & Contextual Review: Verified translation consistency against style guides and glossaries, providing corrected Urdu terminology, transliterations, and concise UI text recommendations.
• Test Execution & Reporting: Performed structured test scripts, comparing English source and Urdu target UI elements while providing detailed bug reports with step-by-step reproduction and evidence screenshots.

SQA Engineer at Spire Tech (2024-04 – Present)

• Localization Testing: Managed end-to-end, sanity, smoke, and regression testing for three localized mobile applications in English and Arabic, checking for layout issues, truncated text, and functional bugs in translated
• Project Leadership & E2E Testing: Acted as the sole QA engineer for the Invoice Management project; successfully managed the end-to-end (E2E), sanity, smoke, and regression testing for three localized mobile applications (English & Arabic).
• AI Chatbot Testing: Contributed to the quality assurance of an AI-powered chatbot feature, validating conversational flows, accuracy, and core functionality against user requirements.
• Requirement Gathering & Test Design: Actively participated in requirement gathering sessions with cross-functional teams to translate business logic into comprehensive test cases, test scenarios, and final QA sign-off reports.
• FinTech & PFM Testing: Executed comprehensive API testing using Postman and performed backend data validation using complex SQL queries for the Personal Finance Management (PFM) module.
• Performance Testing: Conducted performance and load testing using Apache JMeter to ensure system stability, bottleneck identification, and optimal API response times.
• Database Verification: Verified backend data integrity and logs for mobile/web using NoSQL (MongoDB).
• Team Collaboration: Assisted Senior SQA engineers on enterprise CRM projects by developing structured test suites and executing functional testing cycles.
• Continuous Upskilling (In Progress): Actively expanding automation and AI testing capabilities through advanced certifications, focusing on Playwright with Python for web automation and the DeepEval framework for LLM/AI chatbot evaluation metrics.

Software Test Engineer at Premier Code (2023-12 – 2024-03)

• Executed functional, regression, and usability testing on native mobile apps and core device software, while authoring test cases and managing end-to-end defect tracking.

MCS in Computer Science – Pak-Aims

BSC in Computer Science and Math – Punjab University