Muhammad Asim Butt

PROFESSIONAL PROFILE Computer Science undergraduate at the National University of Sciences and Technology (NUST) with a strong interest in Artificial Intelligence, Machine Learning, and Deep Learning. Seeking opportunities to apply theoretical knowledge, develop practical skills, and contribute to data-driven and intelligent systems while growing as an AI professional. EDUCATION Bachelors in computer science SEECS , Islamabad , 2.8 (2026) INTERNSHIP EXPERIENCE Duseca , Islamabad 02-Jun-2023 - 02-Aug-2023 Built responsive mobile apps in flutter; integrated APIs with backend. Vision Plus , Lahore 03-Jun-2024 - 06-Sep-2024 .NET Core Developer, Worked on enterprise apps; Forward Sports , Sialkoat 02-Jun-2025 - 01-Aug-2025 Computer Vision and neural networks intern , Contributed in dataset creation for upcoming project. FINAL YEAR PROJECT Explainable AI for EEG Signal Classification (NeuroXplain) Electroencephalography (EEG) is a widely adopted neurological technique for recording the brain’s electrical activity. Recent advances in deep learning have demonstrated high accuracy in classifying EEG signals for detecting neurological conditions such as epilepsy, Alzheimer’s disease, and seizures. Despite their strong performance, these models are often considered “black boxes,” which limits their trustworthiness and adoption in clinical practice. NeuroXplain addresses this challenge by proposing an explainable artificial intelligence framework that combines accurate EEG classification with transparent and interpretable decision-making. By integrating state-of-the-art explainable AI (XAI) methods, the system provides insights into the reasoning behind its predictions, enabling neurologists to understand and trust model outcomes—an essential requirement for clinical reliability and acceptance. The framework identifies and visualizes the most influential EEG channels, temporal segments, and frequency bands that contribute to each decision, offering meaningful explanations aligned with neurological expertise. TECHNICAL EXPERTISE AI engineer Strong technical background in Artificial Intelligence, Machine Learning, and Natural Language Processing, with hands-on experience in deep learning architectures, transformer-based models, and vector-based information retrieval systems. Proficient in designing, training, and fine-tuning neural networks using ...

Computer Science undergraduate at the National University of Sciences and Technology (NUST) with a strong interest in Artificial Intelligence, Machine Learning, and Deep Learning. Seeking opportunities to apply theoretical knowledge, develop practical skills, and contribute to data-driven and intelligent systems while growing as an AI professional.