Mohammed Naseruddin

I graduated with a B.E. in Computer Science Engineering in 2024 and am passionate about building intelligent systems that solve real-world problems through AI and machine learning.

I have completed focused AI/ML internships and training, including an AI/ML internship at TechZone Academy and roles at NeuNex AI and Unified Mentor where I trained and optimized models using Python and Scikit-learn, achieving 87% accuracy in a deployed classification project.

At NeuNex AI I developed a smart Excel tutoring web app with AI-based feedback, reduced user query response time by 40% through optimized ML inference pipelines, and worked on improving deployment strategies using streamlined DevOps practices. I also delivered projects such as a face detection app, AI chatbot, stock prediction model, and an NLP-based spam classifier.

I work well in Agile, collaborative teams, bringing problem-solving, critical thinking, and a focus on production-ready ML solutions. I am eager to join a team where I can continue developing generative AI and ML applications and contribute to data-driven decision-making.