Armaan Nayyar
About Armaan Nayyar
Armaan Nayyar is a Software Test Intern at Arista Networks with a background in software testing, application engineering, and leadership roles in various organizations.
Current Title and Role
Armaan Nayyar is currently a Software Test Intern at Arista Networks. In this role, Armaan leverages his technical skills to perform comprehensive software testing. He uses tools such as Ixia traffic generator to emulate real-world traffic flows during testing.
Previous Experience at Accenture
In 2023, Armaan Nayyar worked at Accenture in India as an Advanced Application Engineering Analyst Intern for one month. During this internship, he honed his skills in application engineering and gained hands-on experience in a professional setting.
Educational Background
Armaan Nayyar studied at Thapar Institute of Engineering & Technology, where he pursued a Bachelor of Technology (BTech) in Electronics and Computers from 2020 to 2024. Additionally, he studied at the Indian Institute of Technology, Madras, focusing on Data Science and Programming, where he achieved a Bachelor of Science (BS).
Involvement in Microsoft Learn Program
Armaan Nayyar participated in the Microsoft Learn Student Ambassador program from 2021 to 2023. He served in various capacities, including as a Beta and Alpha Microsoft Learn Student Ambassador. This experience provided him with an opportunity to engage with a global community of learners and professionals.
Leadership Roles in Societies
Armaan Nayyar has held multiple leadership roles in various societies. He served as the Deputy Secretary General and USG Delegate Affairs at Thapar MUN Society. Additionally, he worked as a Student Ambassador for Agora and as a Mentor at Frosh TIET. These positions helped him develop strong leadership and event management skills.
Participation in Amazon ML Summer School
In 2022, Armaan Nayyar participated in the Amazon ML Summer School, which focuses on machine learning and artificial intelligence. This experience allowed him to deepen his understanding of machine learning concepts and their practical applications.