Kartic Bhargav K R
About Kartic Bhargav K R
Kartic Bhargav K R is a Software Engineer at Arista Networks with a background in Computer Engineering and Electrical & Electronics Engineering.
Current Position at Arista Networks
Kartic Bhargav K R is currently employed as a Software Engineer at Arista Networks. He has been with the company since 2017 and is based in the San Francisco Bay Area. His role at Arista Networks involves working on various software engineering projects that leverage his deep expertise in C/C++ and socket programming on both Windows and UNIX-based environments.
Previous Experience at Juniper Networks
Prior to his current position, Kartic worked as a Software Engineering Intern at Juniper Networks in 2016. During his three months at the company, he was involved in several key projects that contributed to his extensive software engineering skill set. His time in the San Francisco Bay Area laid the groundwork for his transition to a full-time role at Arista Networks.
Educational Background
Kartic Bhargav K R holds a Master of Science (MS) degree in Computer Engineering from Texas A&M University, which he completed between 2014 and 2016. He also earned a Bachelor of Engineering (B.E.) Hons. in Electrical & Electronics Engineering from Birla Institute of Technology and Science, Pilani, from 2009 to 2013. He attended Padma Seshadri Bala Bhavan in Chennai, where he completed his high school education with a focus on science from 1994 to 2009.
Research and Internship Experience
Kartic has a broad range of research and internship experiences, including positions at University of Zurich, Indian Institute of Science, Trinity College Dublin, and Council for Scientific & Industrial Research, Chennai. These roles spanned various locations such as Zürich Area in Switzerland, Bengaluru Area in India, County Dublin in Ireland, and Chennai Area in India, and ranged from system engineering to research on mobile sensing and data acquisition.
Expertise and Technical Skills
Kartic possesses strong expertise in C/C++ and socket programming on both Windows and UNIX-based environments. He has working knowledge of POSIX/Windows APIs related to operating systems fundamentals. His proficiency extends to cloud and distributed computing, mobile sensing, data acquisition, and embedded systems. During his academic career, he developed a programmable MAC-based system for handling real-time and non-real-time flows in 802.11-based wireless networks as part of his master's thesis and investigated the extension of customizable stack using OpenFlow and re-configurable antennas during his graduate research.