Wajeeha Hamid
About Wajeeha Hamid
Wajeeha Hamid is a Product Manager at Canonical, with a background in Electronics and Computer Engineering. She has experience in 5G performance testing, open source contributions, and network design engineering.
Work at Canonical
Wajeeha Hamid has been serving as a Product Manager at Canonical since 2020. In this role, she is involved in managing product development and strategy, focusing on innovative solutions within the technology sector. Her experience at Canonical contributes to the company's mission of advancing open-source software and cloud infrastructure.
Education and Expertise
Wajeeha Hamid holds a Bachelor of Science in Electronics Engineering from the Center For Advanced Studies in Engineering, where she studied from 2011 to 2015. Additionally, she earned a Bachelor of Engineering in Computer Engineering from the same institution, completing her studies in 2016. Her educational background provides a strong foundation in engineering principles and practices.
Background in Research and Development
Prior to her current role, Wajeeha worked as a Research Assistant at the Center for Advanced Research in Engineering (CARE) from 2014 to 2015. She contributed to various research initiatives, gaining experience in performance testing and network design. Her work included performance benchmarking of Edge Technologies and 5G on Dell Infrastructure.
Contributions to Open Source and Networking
Wajeeha has made significant contributions to the Open Source MANO (OSM) community, particularly in the NFV-SDN domain during OSM Release Three in Spain. She has also published research on AWS support in the Open Source Mano Monitoring Module and the performance analysis of Snort using Network Function Virtualization, both available on IEEE Xplore.
Professional Experience in Network Design
Before joining Canonical, Wajeeha worked at xFlow Research Inc. as a Network Design Engineer and later as a Technical Lead from 2017 to 2020. Her responsibilities included enhancing the NFVi layer using data accelerated features and working with open-source tools such as CORD, ONOS, and OPNFV.