OUR TEAM

Introduction

I am Umair Khan, a recent graduate in Software Engineering with a solid academic foundation and hands-on experience in computer science and technology. My areas of interest include data science, cloud computing, and machine learning, and I am passionate about fostering innovation through practical applications of these fields. With a strong technical background and research experience, I aim to contribute effectively to the academic and operational activities of the Computer Science Department.

Experience

• Freelance AWS Consultant
  • Self-Employed (Nov 2023 – Present)
  • Delivered custom AWS cloud solutions to optimize client infrastructure.
  • Guided students in computer software assignments, enhancing their technical skills.

Qalification

• Academia:
  • B.Sc. in Software Engineering, City University of Science and Technology (2023)
  • Achieved a merit scholarship for maintaining a CGPA above 3.33.
  • Final Year Project: Conducted research on oversampling techniques for handling imbalanced datasets, testing methods like SMOTE and ADASYN on real-world datasets

Research

• Analysis of Oversampling Techniques for Imbalanced Datasets (2023):
  • Conducted experiments on datasets such as Bio-assay, Spam Filtering, and Credit Card Fraud Detection.
  • Implemented and compared seven oversampling techniques to improve machine learning model performance.
  • Published findings in the 5th ICETEMS Conference Proceedings.
• Publications
  • Umair Khan, et al. (2023). "Oversampling Techniques on Imbalanced Datasets," 5th ICETEMS Proceedings.

Projects

• AWS Cloud-Based Solutions:
  • Designed scalable architectures for web applications using AWS services such as EC2, S3, and CodePipeline.
  • Supported student learning by conducting sessions on cloud deployment and DevOps best practices.