Asad Ur Rehman Khan
About Asad Ur Rehman Khan
Asad Ur Rehman Khan is a Senior Software Engineer with a strong background in web application optimization and serverless architecture. He has significantly improved loading times and reduced infrastructure costs through his work with AWS technologies and agile methodologies.
Work at Confidential
Currently, Asad Ur Rehman Khan serves as a Senior Software Engineer at Confidential, a position he has held since 2019. His role involves leading projects that enhance software performance and team productivity. He has implemented agile development methodologies, contributing to a 25% increase in team efficiency. Asad is actively involved in deploying AWS Amplify's tools with CI/CD, ensuring high availability with a reported uptime of 99.9% for various projects.
Previous Experience at BOL Network
Asad worked as a Software Engineer at BOL Network from 2014 to 2018. During his tenure, he contributed to various software development projects in Islāmābād, Pakistan. His experience at BOL Network allowed him to refine his technical skills and gain practical knowledge in software engineering practices.
Previous Experience at NorthBay Solutions
Before joining BOL Network, Asad was employed at NorthBay Solutions (CDocs) Pakistan from 2010 to 2014 as a Software Engineer. His work in Lahore focused on developing software solutions that met client needs, further enhancing his expertise in the field.
Education and Expertise
Asad Ur Rehman Khan obtained a Bachelor of Science in Computer Science from the University of the Punjab, studying from 2006 to 2010. His educational background laid the foundation for his career in software engineering, equipping him with essential knowledge and skills in programming and system design.
Technical Achievements
Asad has made significant contributions to software development efficiency. He improved loading times of a NextJS-based web application by 50% through server-side rendering and asset loading optimization. Additionally, he implemented a serverless architecture using AWS Lambda and DynamoDB, achieving a 75% reduction in infrastructure costs. His development of custom AWS Serverless functions enhanced operational efficiency by 40% and reduced costs by 10%.