Anuj Issar
About Anuj Issar
Anuj Issar is a Software Engineer at Arista Networks with expertise in Linux Systems Programming and low latency system design.
Current Role at Arista Networks
Anuj Issar currently works as a Software Engineer at Arista Networks. He has been with the company since 2017. Arista Networks is known for its work in building scalable, high-performance networks for data centers and cloud computing environments. Based in Vancouver, British Columbia, Canada, Anuj contributes to the development and design of large-scale, low-latency systems as part of his role.
Previous Experience
Before joining Arista Networks, Anuj Issar accumulated diverse experience in various roles. He worked as a Software Engineer at SAP in Vancouver for 7 months in 2016, focusing on software development. Prior to that, he held positions at uTrade Solutions, where he served as a Software Engineer and later as a Senior Software Engineer from 2013 to 2015 in Chandigarh, India. In addition, he served short-term roles such as a Management Trainee at Kotak Mahindra Bank in 2012 and a Teaching Assistant at Simon Fraser University in 2016 and 2017.
Educational Background
Anuj Issar holds a Master's degree in Computer Science from Simon Fraser University, which he completed in 2017. He also earned a Bachelor of Engineering (BEng) in Computer Science and a Master of Business Administration (MBA) in Information Technology from Panjab University, where he studied from 2008 to 2013. His rigorous academic training provided a strong foundation for his career in software engineering and system design.
Expertise and Skills
Anuj Issar possesses significant expertise in Linux Systems Programming, multi-threaded design paradigms, and API designing. His work primarily involves designing and developing large-scale, low-latency systems, a field in which he has over six years of experience. Anuj also has a keen interest in low-latency C++ programming and scalable system design, and he is skilled in data-flow paradigms. Furthermore, he has a strong interest in machine learning, which complements his technical skill set.