Ram Nad

Ram Nad's work experience includes the following roles and companies:

- Currently, in 2022, Ram Nad is working as a Software Engineer at Motorq.

- From January 2022 to June 2022, Ram Nad worked as a Software Engineer Intern at Motorq.

- In 2021, Ram Nad worked as a Software Engineer Intern at Motorq from May to August.

- From 2020 to 2021, Ram Nad worked at IOTA as a Secretary from March 2020 to May 2021 and as a Member from February 2019 to March 2020.

- In 2021, Ram Nad worked as a Software Developer at Campus Media from February to April.

- From 2019 to 2020, Ram Nad worked as a Member at Gradient, IIIT Sri City from December 2019 to September 2020.

- In 2020, Ram Nad worked as a Back End Engineer at AutomationEdge from May to August.

Ram Nad completed their education from various institutions. Ram obtained their Bachelor of Technology (BTech) degree in Computer Science from the Indian Institute of Information Technology, SriCity, from 2018 to 2022. Prior to that, they completed their high school education at Hem Sheela Model School, Durgapur, from 2016 to 2018, with a focus on Physics, Maths, and Computer Science.

Before attending Hem Sheela Model School, Ram Nad studied at SKS Public School, Raniganj, from 2006 to 2016, where they completed their AISSE qualification. The field of study for their AISSE degree is not specified in the provided information.

In addition to their formal education, Ram Nad also obtained several certifications. These include "Introduction to Distributed SQL and CockroachDB" and "Introduction to Serverless Databases and CockroachDB Serverless" from Cockroach University in January 2022, "Java Multithreading" from Udemy in April 2020, "Network Protocols and Architecture" from Coursera in September 2019, "Docker Essentials" from Udemy in August 2019, "JavaScript Algorithms and Data Structures" from freeCodeCamp in August 2019, "Machine Learning" from Coursera in August 2019, "Mathematics for Machine Learning: Multivariate Calculus" from Coursera in August 2019, "Vagrant Master Course" from Udemy in August 2019, "Mathematics for Machine Learning: Linear Algebra" from Coursera in May 2019, "SQL for Data Science" from Coursera in April 2019, "The Unix Workbench" from Coursera in April 2019, and "Quadrotor Workshop" from Skyfi Labs in September 2018.