Vikram Sidhu
About Vikram Sidhu
Vikram Sidhu is a Diagnostics Software Engineer at Arista Networks, with a background in Electrical Engineering and Computer Science from UC Berkeley.
Company
Vikram Sidhu currently works at Arista Networks as a Diagnostics Software Engineer. Based in Santa Clara, CA, he has been with the company since 2016. During his tenure, he has led the development and shipment of Power over Ethernet products, optimized test procedures, and directed product builds to achieve high manufacturing efficiency.
Title
Vikram Sidhu holds the position of Diagnostics Software Engineer at Arista Networks. In this role, he focuses on optimizing diagnostics software and ensuring the efficiency and reliability of Arista Networks' products. He also has extensive experience in managing and improving manufacturing processes.
Education and Expertise
Vikram Sidhu earned a BS in Electrical Engineering and Computer Science from the University of California, Berkeley. His educational background and expertise have enabled him to excel in software engineering, particularly in diagnostics and testing procedures in the technology manufacturing sector.
Professional Background
Before joining Arista Networks, Vikram Sidhu worked at several other companies. He served as a Curator at Kite in San Francisco in 2015. He also worked as a Tutor at Brighter U in Moorpark, CA from 2012 to 2013. Additionally, he gained marketing experience as a Global Product Marketing Intern at Belkin in Playa Vista, CA for two months in 2012.
Achievements
Throughout his career, Vikram Sidhu has achieved several significant milestones. At Arista Networks, he led the development of the company's first Power over Ethernet products. He optimized test procedures to reduce stage runtimes by 50% and eliminated operator errors. His efforts directed product builds, resulting in over 15,000 units shipped from both domestic and offshore sites, and guided product yield rates to exceed 90% pass rates in manufacturing. Additionally, he designed scripts that reduced retest time by up to 85% for new product updates.