Mayank Rajoria
About Mayank Rajoria
Mayank Rajoria is a Software Engineer currently working at Robust Intelligence, where he focuses on developing SaaS solutions. He has a diverse background in software development, having worked at notable companies such as Salesforce, Amazon, and Embark Trucks.
Work at Robust Intelligence
Mayank Rajoria currently serves as a Software Engineer at Robust Intelligence, a position he has held since 2023. He is part of the Cloud Team, where he focuses on developing the SaaS layer and enterprise-readiness features. In this role, he utilizes technologies such as Go, Kubernetes, Terraform, and Helm, contributing to the company's software development efforts.
Previous Experience at Salesforce
Prior to his current role, Mayank worked at Salesforce for a total of two years. He began as a Software Engineer Intern in 2019 for three months in the Greater Boston Area. He then progressed to the role of Associate Member Of Technical Staff from 2020 to 2021, followed by a position as Member Of Technical Staff from 2021 to 2022, both based in San Francisco.
Experience at Other Companies
Mayank has held various positions in different organizations. He worked as a Software Development Intern at Amazon in 2017 for two months in Hyderabad, India. He also served as a Software Engineer at Embark Trucks from 2022 to 2023 for eleven months in San Francisco. Additionally, he worked as an Algorithm Engineer at RIVIGO in 2018 for two months in Gurgaon, India.
Educational Background
Mayank Rajoria earned his Master's degree in Computer Science from the University of California San Diego, studying from 2018 to 2019. He also holds a Bachelor of Technology (B.Tech.) in Computer Science and Engineering from the Indian Institute of Technology, Delhi, where he studied from 2014 to 2018.
Teaching Experience
In 2019, Mayank worked as a Graduate Teaching Assistant at the University of California San Diego for a total of five months. His responsibilities included assisting in the educational process, contributing to the academic development of students in the Computer Science department.