I am a second-year Computer Science student at the Informatics Institute of Technology, affiliated with the University of Westminster. I am passionate about machine learning, web backend technologies, and low-level programming.

With a strong foundation in software development, I have worked on multiple projects spanning web development, machine learning, and systems programming. My technical expertise includes Python, Java, C, and C#, as well as modern web frameworks such as Flask, Angular, Vue.js, and Svelte. I am continuously exploring AI and machine learning, applying these technologies to real-world applications and research.

Academically, I have completed CS50, Harvard University's rigorous introduction to computer science, and earned a distinction in my Foundation Certificate in Higher Education (IT). Alongside my studies, I actively contribute to open-source projects and develop software solutions aimed at enhancing efficiency and automation.

In web development, I focus on designing scalable architectures and implementing efficient data processing systems. My projects range from simple web applications to advanced systems, such as Curasync and a Real-Time Ticketing System.

Beyond web development, I have a strong interest in low-level programming. One example is Gity, a Rust-based alternative Git client, which highlights my passion for working with systems-level programming and low-level languages.

In the field of machine learning, I have worked on projects like a Movie Prediction System, which leverages modern machine learning techniques to build accurate predictive models. More details about these and other projects can be found on my portfolio page.

I am also interested in writing research papers in areas such as machine learning and quantum computing. Currently, I am laying the foundation for academic research and working on a machine learning-related research paper. Additionally, I am learning Q#, Microsoft's quantum programming language, and conducting simple experiments with quantum algorithms. My ultimate goal is to explore research opportunities that combine AI/ML with quantum computing.

I actively share my knowledge and continuously learn by collaborating within the tech community, engaging in discussions about software engineering, AI advancements, and backend technologies. My work reflects a strong commitment to innovation, problem-solving, and leveraging technology to create impactful solutions.