TAYYAB SAJJAD@tayyabsajjad

I am Asim Khan, a dedicated computer science student in the 7th semester of my BS program at Kohsar University Murree, Pakistan. My academic journey is fueled by a passion for technology and its potential to drive meaningful change. With a strong focus on innovation and problem-solving, I actively engage in hackathons and other competitive forums to refine my skills and collaborate with forward-thinking individuals. In 2023, I achieved the runner-up position at the All Punjab Universities Innovation Expo, demonstrating my ability to develop creative and effective solutions. In 2024, I further solidified my expertise by winning Harvard's CS50 Puzzle Day, showcasing my aptitude for tackling complex challenges. Recently, I was honored as an HEC High Achiever at the National Youth Convention, receiving recognition from the Prime Minister of Pakistan and the Chief of Army Staff. This prestigious acknowledgment reflects my commitment to excellence and the outstanding mentorship provided by the faculty at Kohsar University. As I approach the final stages of my degree, I am eager to apply my knowledge and skills in collaborative environments, contributing to projects that push the boundaries of technology. I look forward to leveraging my experience in upcoming hackathons and other opportunities to make a meaningful impact.

AI enthusiast with practical experience in Generative AI, machine learning, and data analysis. I’ve worked on building AI-powered apps like chatbots and sentiment analysis tools using models like GPT and LLaMA. I enjoy solving real-world problems and exploring new ways AI can drive innovation.

HI, I'm Muhammad Jawad, Compuuter Science student, currently plays as "Data Analytics" role. I'm a beginner in the field of AI and machine learning, but I'm eager to learn and grow. I have some basic knowledge of Python and Python libraries, and also know-how Front-end development (HTM, CSS, JavaScript). I'm interested in Problem Solving, Generative AI and Large Language Models, using large language models (LLMs) to solve real-world problems.