Shashank V Raghavan

Shashank V Raghavan has a range of work experience in various roles and industries.

Starting from 2018, Shashank worked as a Graduate Research Assistant at the University of Bremen, where they were involved in projects related to robotics engineering and control systems engineering. In these roles, they designed, tested, and constructed productive and safe robots, integrated sensors such as LiDAR and Intel RealSense Camera, and implemented navigation packages using the Robot Operating System (ROS). Shashank V also designed and developed PID controllers and automated testing rigs for laser capture systems.

In 2021, Shashank joined the University of Virginia as a Graduate Teaching Assistant for Digital Logic Design and as a Graduate Research Assistant for Robotics Engineering. Shashank V contributed to a project on strategic fault injection for safety validation in cyber-physical systems, working with CARLA and openpilot.

In terms of industry experience, Shashank is currently working at Quanergy as a Manufacturing Engineer for Electromechanical Systems. Here, they collaborate with the operations department to understand the requirements for building LiDAR sensors and conducts tests throughout the production process to identify potential malfunctions and recommend improvements.

Shashank has also been involved in several community memberships. Shashank V is a member of Ingenii, where they submit algorithms to the community and collaborates with quantum scientists. Shashank V is a member of Hugging Face Transformers Classrooms, where they learn and builds ML-powered applications using open-source technologies. Shashank V is a community member of the Quantum Open Source Foundation (QOSF), where they support the development and standardization of open tools for quantum computing. Shashank V is a community member of Producter, a product management tool, and a member of the International Association of Engineers, Global AI Hub, and IEEE.

Overall, Shashank V Raghavan has a diverse range of experience in robotics engineering, control systems engineering, and manufacturing engineering, along with active involvement in various communities and organizations related to quantum computing, AI, product management, and engineering.

Shashank V Raghavan holds a Master's degree in Computer Engineering from the University of Virginia. Prior to this, they completed their Bachelor's degree in Electronics and Instrumentation Technology from Dayananda Sagar College of Engineering in Bangalore. Shashank also attended St. Joseph's Pre-University College, where they studied Computer Science. Additionally, they obtained a Master's degree in Electrical Engineering from the University of Bremen. In terms of certifications, Shashank has obtained several certifications, including AI Product Manager from Udacity and various AI-related certifications from LinkedIn.