Sayas Ahamed

I’m currently pursuing a Bachelor of Information and Communication Technology and I’m actively seeking a Software Engineering / Full Stack Engineering internship opportunity. I have hands-on experience in backend development, RESTful API development, database integration, and full-stack web application development. I primarily work with Python and have experience building practical software solutions with a strong focus on backend logic, system integration, and problem-solving. In addition to software development, I have a strong interest in Artificial Intelligence and Machine Learning. I have worked on AI/ML-based projects involving predictive analytics, computer vision, data processing, and explainable AI. One of my key projects includes developing intelligent systems using machine learning models such as XGBoost, Random Forest, and Support Vector Machines (SVM) to analyze real-world datasets and generate meaningful predictions. I have also explored Explainable AI (XAI) techniques such as SHAP to improve model transparency and interpretability. Furthermore, I have worked on an AI/ML Football Analysis System utilizing computer vision techniques to analyze match videos, track players and ball movement, generate heat maps, and provide performance insights. These projects have strengthened my skills in data analysis, machine learning workflows, system design, and integrating AI functionalities into software applications. I’m passionate about learning new technologies, improving my development skills, and contributing to real-world projects in a professional environment. I am eager to apply both my software engineering and AI/ML knowledge while gaining valuable industry experience.