Muhammad Umer Ali

PROFESSIONAL PROFILE Final-year Computer Science student at NUST with a strong foundation in deep learning research. Passionate about Ethical AI, with active research focused on Machine Unlearning. Experienced in building medical AI solutions, including neonatal pain assessment and disease detection systems. Seeking opportunities to apply expertise in AI safety and computer vision to solve complex real-world problems. EDUCATION Bachelor of Science in Computer Science School of Electrical Engineering & Computer Science , Islamabad , 3.19 (2026) INTERNSHIP EXPERIENCE KBS Lab 01-Sep-2024 - 30-Jun-2025 Researched machine unlearning techniques for privacy-preserving neural networks and transfer learning methods to improve generalization across vision datasets. Melior 01-Jun-2024 - 31-Aug-2024 Developed real-time emotion recognition models for marketing by integrating audio data streams to improve customer engagement efficiency. Ehsaas 01-Jun-2023 - 31-Aug-2023 Built a full-stack web platform connecting patients with attendants by featuring real-time updates and successfully reducing request latency by 25% FINAL YEAR PROJECT PANDA: Pain Assessment in Neonates using Deep Learning and Analytics PANDA is a research project that utilizes Deep Learning to assess pain levels in neonates due to their inability to communicate. The project analyzes brain activity, EEG signals, to provide objective pain quantification, aiming to overcome the limitations of manual observation in neonatal intensive care units. TECHNICAL EXPERTISE Machine Learning & Deep Learning CNNs, RNNs, GANs, RAG, Transformers, Transfer Learning, Machine Unlearning, LLMs, Agentic AI. Programming Languages Python, JavaScript, TypeScript, Java, Kotlin, C#, C++, SQL.

Final-year Computer Science student at NUST with a strong foundation in deep learning research. Passionate about Ethical AI, with active research focused on Machine Unlearning. Experienced in building medical AI solutions, including neonatal pain assessment and disease detection systems. Seeking opportunities to apply expertise in AI safety and computer vision to solve complex real-world problems.