Muhammad Moosa

PROFESSIONAL PROFILE Computer Science undergraduate with hands-on experience in Machine Learning and Large Language Models, including deep learning, RAG-based systems, and model fine-tuning. Completed an AI-driven final year project for real-time quality classification and market intelligence, and gained industry exposure as an ML intern. Strong foundation in TensorFlow, PyTorch, and modern web technologies, with a focus on building scalable, production-ready AI solutions. EDUCATION BSCS SEECS , Sargodha , 3.14 (2026) INTERNSHIP EXPERIENCE Devsinc 01-Jul-2025 - 22-Aug-2025 Machine Learning Intern FINAL YEAR PROJECT Export Edge AI The project, Export Edge AI, is designed as an integrated agri-tech solution aimed at transforming the mango exporting business by reducing post-harvest loss and enhancing market competitiveness. This system leverages deep learning (CNNs) and Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) to perform real-time quality control and market intelligence. By accurately classifying mangoes and providing instant export insights, Export Edge AI automatically generates comprehensive reports, optimizing pricing and destination recommendations for producers and exporters. TECHNICAL EXPERTISE Large Language Models Tensorflow Pytorch Huggingface Transformers RAG Transfer Learning Web Development React js Next js Node js Express js Postgre SQL mySql Mongo DB Tailwind CSS

Computer Science undergraduate with hands-on experience in Machine Learning and Large Language Models, including deep learning, RAG-based systems, and model fine-tuning. Completed an AI-driven final year project for real-time quality classification and market intelligence, and gained industry exposure as an ML intern. Strong foundation in TensorFlow, PyTorch, and modern web technologies, with a focus on building scalable, production-ready AI solutions.