Muhammad daud abdullah asif
NUST
· 2025
Email
daud.abdullah@seecs.edu.pk
Phone
0519085000
LinkedIn
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GitHub
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Academic
Program
BE Software Engineering
CGPA
3.0
Year
2025
Education
School of Electrical Engineering and Computer Science
Address
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DOB
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Career
Current role
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Target role
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Skills
Machine Learning, Deep Learning, Python, Java, Regressions, Classification, Clustering, Bias and Variance, Performance metrics, Loss functions, Regularization, Forward and Backpropagation, Hyperparameter Tuning, ANN models, Transfer Learning, Active Learning, Knowledge Distillation, Federated Learning, Explainable AI (XAI)
Interests / quote
Dedicated Software Engineer student with a strong foundation knowledge. Proficient in various programming languages and frameworks, I excel at problem-solving and collaborating with teams to deliver high-quality software solutions. I have a keen interest in the Machine Learning and Deep Learning field, and I am passionate about learning new technologies to contribute effectively to innovative projects.
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Name: Muhammad daud abdullah asif Company: Nust-seecs Phone: 0519085000 Email: daud.abdullah@seecs.edu.pk Professional Profile Dedicated Software Engineer student with a strong foundation knowledge. Proficient in various programming languages and frameworks, I excel at problem-solving and collaborating with teams to deliver high-quality software solutions. I have a keen interest in the Machine Learning and Deep Learning field, and I am passionate about learning new technologies to contribute effectively to innovative projects. Education BE Software Engineering School of Electrical Engineering and Computer Science , 3.0 Matric / O levels , (2019) Intermediate / A levels , (2021) BE Software Engineering National University of Sciences and Technology (NUST) , 3.0/4.0 (2025) F.Sc (Pre-Engineering) Islamia College , 972/1100 (2021) Matric (Science) Fauji Foundation Model School , 1022/1100 (2019) Internship Experience Machine Learning Intern @ 99 Technologies, Pvt, Ltd. ( 01-Jul-2024 - 30-Aug-2024 ) (1). Implemented models: Regressions, Classification, and Clustering. (2). Explored key concepts of Machine Learning: Bias and Variance, Performance metrics and Loss functions, Regularization, Forward and Backpropagation, and Hyperparameter Tuning. (3). Developed, trained and optimized models using Deep Lea Deep Learning Research Intern @ ONT Lab, SEECS, NUST ( 10-Jun- 2024 - 03-Sep-2024 ) (1). Developed ML and ANN models for GSNR prediction to optimize communication systems. (2). Applied Transfer Learning and Active Learning to enhance model efficiency. (3). Implemented Knowledge Distillation and Federated Learning for scalable training. (4). Used Explainable AI (XAI) to improve model transpar Projects Final Year Project, "Visual Representation of X-ray Images to Enhance Chest Disease Detection and Classification using Deep Learning and Explainable AI" To develop an AI-powered tool that accurately localize chest X-ray abnormalities, classify diseases, and provide textual explanations, empowering doctors with clearer insights for improved diagnosis, all through a user-friendly website interface. "Methodology" (1). Data Collection (2). Data Preprocessing (3
AI enrichment
Muhammad Daud Abdullah Asif is a final-year Software Engineering student at NUST with a 3.0 CGPA, specializing in Machine Learning and Deep Learning. He has completed internships at 99 Technologies and ONT Lab, gaining practical experience in model development, optimization, and AI research.
Skills (AI)
["Machine Learning", "Deep Learning", "Python", "Neural Networks", "Transfer Learning", "Federated Learning", "Explainable AI", "Data Preprocessing", "Model Optimization", "Computer Vision"]
Status: ai_done