Software Quality Assurance | Test Automation
Motivated CS undergraduate with strong foundations in manual & automated testing. Building reliable software, one test case at a time.

I'm Mohammed Samir, a passionate Software Quality Assurance (QA) engineer dedicated to ensuring that applications are reliable, efficient, and user-friendly. I specialize in identifying bugs, improving performance, and maintaining high-quality standards throughout the development lifecycle.
With a strong understanding of both manual and automated testing, I focus on delivering seamless user experiences. I enjoy breaking systems to make them stronger and collaborating with developers to build robust, scalable solutions.
software testingMy work involves functional testing, regression testing, API testing, and performance validation. I ensure every feature works as expected and meets business requirements before it reaches users.
Conducted comprehensive manual testing on an OpenCart-based e-commerce application. Covered user registration, login, product search, cart, and checkout flows. Documented 40+ test cases and raised bug reports with detailed reproduction steps and severity ratings.
Automated end-to-end test scripts using Playwright (JavaScript) covering core user flows: product browsing, cart management, and checkout. Focused on edge case handling and UI behavior validation. Also performed API testing on key endpoints using Postman.
Built a dynamic job portal web application with structured backend services and frontend UI. Performed functional and regression testing on core features; tracked and documented defects using structured bug reports.
Implemented features for managing cafe operations such as menu items, order processing, billing and record keeping. Organized project using solution and source files that demonstrate practical application of programming concepts. Used version control with Git and GitHub to track changes and maintain code history. This project shows ability to build real-world software systems, apply object‑oriented programming, and manage structured codebase.
OpenGL, showcasing real‑time rendering and interactive visual elements. Demonstrated understanding of core graphics programming concepts including rendering loops, shape drawing, and event‑based updates
Proposed a hybrid mammogram classification pipeline using DINOv2, MIL patch bags, and RBF SVM with dynamic threshold tuning. The system achieved 90.4% accuracy on breast mass classification, demonstrating the power of self-supervised learning in medical imaging workflows.
I'm actively looking for SQA Internship opportunities. Whether you have a project, a role, or just want to say hi — my inbox is always open!