Dhruva G.
About Dhruva G.
Dhruva G. is an Embedded System Developer with a background in Electrical Engineering. He has worked with various companies, including AIRPIX and Finemen Diagnostics, and currently contributes to Google Summer of Code and Magnes.
Work at Google Summer of Code
Dhruva G. has been working as an Embedded System Developer at Google Summer of Code since 2021. This role involves contributing to open-source projects and collaborating with developers worldwide. The program is designed to encourage student participation in software development, providing mentorship and support for innovative projects.
Current Employment as Embedded Engineer
Currently, Dhruva G. serves as an Embedded Engineer at Magnes, a position he has held since 2021. In this role, he focuses on developing embedded systems, leveraging his technical skills and knowledge in the field. His work contributes to the advancement of technology within the organization.
Previous Experience in Computer Vision and Embedded Systems
Dhruva G. has a background in computer vision and embedded systems. He worked as a Computer Vision Engineer at AIRPIX for three months in 2020. Following this, he held a position as an Embedded System Developer at Finemen Diagnostics and Instruments for four months in 2020-2021. These roles provided him with practical experience in the industry.
Education and Expertise in Electrical Engineering
Dhruva G. earned a Bachelor of Technology in Electrical Engineering from Veermata Jijabai Technological Institute (VJTI), studying from 2018 to 2022. His educational background also includes a Secondary School Certificate from Abu Dhabi Indian School and a Higher Secondary Certificate from Rajhans Vidyalaya. This academic foundation supports his expertise in embedded systems and related technologies.
Technical Skills and Projects
Dhruva G. has experience with TI Sitara Arm Processors, specifically the AM5729 and AM335x models. He employs Real Time Linux using the Xenomai Kernel in his development work. Additionally, he has worked on projects that involve ARM assembly and Programmable Real-Time Units (PRUs). Notably, he contributed to introducing Cape compatibility for Bela Cape on the BeagleBone AI.