As I am a Computer Science and Engineering student with a strong background in machine learning, deep learning, and modern web development. My experiences as a freelance front-end developer, research assistant, and course instructor have equipped me with both technical expertise and strong communication skills. I have worked on impactful projects, including a hybrid CNN-Transformer model for knowledge distillation and an AI-driven telehealth platform for animals, which allowed me to apply complex research concepts to real-world challenges. I am proficient in tools like PyTorch, Scikit-learn, and SHAP for model development and interpretability, and I also specialize in front-end technologies such as Next.js, React.js, and Tailwind CSS. This unique combination enables me to build intelligent, user-friendly systems that bridge the gap between AI and user experience. Outside the classroom, I’ve taken on leadership roles as a campus ambassador and event manager, and I’ve cultivated discipline and creativity through marathon running and music instruction. With certifications in both machine learning and front-end development, and a CGPA equivalent to 85%+, I am academically strong and practically prepared. I am seeking a role where I can contribute meaningfully to AI-driven systems—particularly in applied machine learning, explainable AI, or intelligent interface development. I value environments that encourage learning, innovation, and mentorship, and I’m eager to be part of a team making a real-world impact with cutting-edge technology.