Saudi Arabia
I am a First-Class Honours Computer Science graduate with a focus in Artificial Intelligence from Sunway University in Malaysia, which offers a dual degree programme with Lancaster University in the UK. My interest in this field began with curiosity about how technology, powered by data, can move beyond being just a tool and instead become something that meaningfully improves how people learn, interact, and solve problems. This shaped my direction toward understanding how intelligent systems can be applied to real-world challenges. I am proficient in Python, Java, and SQL, as well as machine learning libraries, Java frameworks, and JavaScript. Additionally, throughout my academic journey, I developed strong foundations in algorithms, data structures, and data analysis, along with deeper exposure to artificial intelligence, including machine learning and computer vision. All of this was reinforced through academic projects, where I collaborated with peers to design and implement solutions to structured problem scenarios. I had the opportunity to gain my first work experience through an internship at a fast-paced startup as an automation software tester. This experience required me to quickly adapt to new tools and technologies, strengthen my problem-solving skills, and work efficiently in a dynamic environment under real-world software delivery constraints. It also gave me valuable exposure to how software systems are built, tested, and maintained in fast-paced development environments. I am interested in a wide range of AI applications, from neurotechnology and brain-computer interfaces (BCI) to robotics, autonomous systems, and design. What connects these areas for me is how data and innovation make them possible. I am particularly fascinated by how AI and data-driven approaches enable systems to learn, adapt, and improve, and how data and visual information can be transformed into meaningful insights that help solve real-world problems. I enjoy volunteering and giving back to the community, through which I have been able to directly observe how data and technology can improve efficiency and support real-world operations. Moving forward, I am eager to continue growing in artificial intelligence, where I can contribute to building intelligent, impactful systems that bridge the gap between technology and people.
- Worked in a fast-paced startup environment where product features evolved rapidly and quality assurance had to align with continuous delivery cycles. - Designed and maintained automated test frameworks using Cypress and JavaScript, building modular and reusable test structures across 10+ application workflows. - Developed end-to-end automated test flows combining UI validation with API interception to ensure reliable frontend–backend integration. - Optimized automation execution efficiency, reducing test run time by approximately 60–70% while maintaining full functional coverage. - Built structured, data-driven testing pipelines handling 80+ test inputs per run to support scalable and repeatable validation. - Performed exploratory and functional testing to identify edge cases early in the development lifecycle and improve overall product stability. - Collaborated closely with developers in a rapid feedback environment by reporting prioritized defects, validating fixes, and supporting release cycles. - Adapted quickly to changing startup requirements while contributing across automation, manual testing, and continuous delivery processes. - Contributed to improving product reliability and supporting rapid iteration in a dynamic startup environment, making the experience both challenging and rewarding.