About
QA Engineer with around 2 years of experience working across functional, regression, and UAT cycles. I focus on dissecting requirements into test scenarios, managing defect lifecycles end-to-end, and staying closely aligned with both development and business teams throughout the testing process.
Skills & Expertise (24)
Work Experience
Quality Assurance Engineer - Founding Team
Tifants
Mar 2024 - Jul 2024
Collaborated with 4+ developers to resolve UI and logic defects across Android and iOS builds, using Figma to validate design consistency, contributing to smoother release cycles and more stable feature delivery. Conducted responsiveness and accessibility testing across multiple devices, screen resolutions, browsers, and OS environments, ensuring consistent UI behavior and compliance with accessibility standards across all supported platforms. Covered 60+ API modules using Postman across Guardian, Teacher, and Owner modules — verifying cross-role workflows, integration reliability, and consistent data flow between backend services.
Associate QA Engineer
Codemonk
Jul 2024 - Present
Took ownership of quality validation for a RAG-based GenAI product developed for a Japanese enterprise client. Tested summary generation, grammar correction, and contextual accuracy across internal company documents, which helped reduce processing time by about 40% and improved the reliability of results. Tested and validated a Chrome Extension for a Fortune 500 consumer goods organization providing guided walkthroughs to streamline commodity code fetching and supplier matching processes. Partnered with product and analytics teams to confirm verify a 15% improvement in user task completion rates. Worked with 7+ ML models running in production, ensuring model behaviour and output consistency. Also contributed to improving training data by performing annotations using Roboflow and gathering real-world edge cases in both client and remote centres based on user behaviour. Performed robustness testing for 8 ML models used by a multinational paint manufacturer, checking how the models behaved across different real-world scenarios and ensuring performance stayed stable under varying conditions. Validated large-scale point cloud data pipelines processing up to 500 million points, checking output accuracy, processing consistency, and overall reliability before production releases.
Education
B.E. Computer Science Engineering - Karpagam College of Engineering
2020 - 2024 · Afghanistan
Certifications
No certifications added yet
Interested in this developer?
Profile Score Breakdown
Profile Overview
Skills (24)
Click a skill to find developers with the same skill
