Anirudh Singh

Anirudh Singh

Software Engineer @ Arista Networks

About Anirudh Singh

Anirudh Singh is a Software Engineer at Arista Networks with a background in electrical, electronics, and communications engineering, and experience in software engineering roles at MediaTek and National Instruments India.

Title

Anirudh Singh is currently employed as a Software Engineer at Arista Networks. His professional journey has included roles at various notable companies in the field of software engineering.

Company

Anirudh Singh commenced his current role at Arista Networks in 2021. During his time at Arista, he has worked on projects related to computer networking, contributing to the development and improvement of networking solutions.

Previous Roles

Before joining Arista Networks, Anirudh Singh worked as a Software Engineer at MediaTek in Noida, Uttar Pradesh, India, from 2017 to 2018. He also served as an Application Engineering Intern at National Instruments India in 2016, based in Bengaluru Area, India. These roles helped him build a solid foundation in software engineering and application development.

Education and Expertise

Anirudh Singh holds an M.Tech (Research) in Signal Processing and Machine Learning from the Indian Institute of Science (IISc), which he completed between 2018 and 2021. He also has a Bachelor of Technology (B.Tech.) in Electrical, Electronics, and Communications Engineering from Motilal Nehru National Institute of Technology, achieved during his studies from 2013 to 2017. His educational background provided him with a robust foundation in mathematics, statistical learning, computer networking, and Linux.

Background

Anirudh Singh developed a deep interest in mathematics, statistical learning, computer networking, and Linux early in his career. His work experience spans several industries, including his earlier tenure at MediaTek and an internship at National Instruments India. This diverse professional background in software engineering roles complements his academic expertise in signal processing and machine learning.

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