Farman Naim

Motivated and detail-oriented Computer Science graduate with strong expertise in full-stack web development and machine learning. Proficient in building scalable, user-centric web applications using Django, Python, HTML, CSS, JavaScript, and Bootstrap, with hands-on experience in database management using SQLite3 and Django ORM. Experienced in developing real-world projects such as role-based dashboards and AI-driven systems, including a CNN-based maize leaf disease detection model using TensorFlow, NumPy, and Pandas. Currently working as a Full Stack Intern, contributing to secure backend development, responsive UI design, and efficient application workflows. Possesses strong analytical skills, a solid foundation in data analysis and visualization (Excel, Power BI), and a passion for solving practical problems through technology. Eager to apply technical knowledge, continuously learn, and contribute effectively to innovative software development teams.