Niyati Singal
About Niyati Singal
Niyati Singal is a Software Engineer at Arista Networks, specializing in backend development for the CloudVision product. She has a strong background in machine learning, data analysis, and network engineering.
Current Role at Arista Networks
Niyati Singal is a software engineer at Arista Networks. She has been with the company since 2021, located in Bengaluru, Karnataka, India. In her role, she works as a backend developer specifically for the CloudVision product. Her responsibilities likely include developing and maintaining backend services, ensuring smooth integration with other systems, and working on scalability and performance optimizations for CloudVision.
Previous Experience at VMware
Before joining Arista Networks, Niyati Singal worked at VMware as a Member Of Technical Staff. She was employed there from 2019 to 2021 for a period of 2 years in the Bengaluru Area, India. During her tenure, she may have been involved in developing software solutions, engaging in technical problem-solving, and contributing to VMware's product offerings with her skills in programming and software engineering.
Research Role at Accenture
In 2018, Niyati Singal was employed at Accenture Research as a Researcher for 5 months in the Bengaluru Area, India. This role likely involved conducting detailed studies and analyses in the field of technology, contributing to research reports, and supporting data-driven insights for Accenture's strategic initiatives.
Educational Background
Niyati Singal holds a Master’s degree in Computer Science Engineering (Data Engineering) from the Indraprastha Institute of Information Technology, Delhi, obtained between 2017 and 2019. She also holds a Bachelor's degree in Information Technology from Guru Gobind Singh Indraprastha University, earned between 2013 and 2017. Her academic background provided her with a strong foundation in data engineering and information technology.
Technical Skills and Expertise
Niyati Singal has significant expertise in various programming languages, including the use of SPARQL. She is proficient with advanced tools and technologies like Python Sklearn and Keras, indicating a strong capability in machine learning and data analysis. Additionally, she has experience with network simulation and modeling using Network Simulator-3, and is skilled in using containerization and orchestration tools such as Docker and Kubernetes. These skills showcase her abilities in both software development and modern software deployment practices.