Shashank V Raghavan

Shashank V Raghavan has a diverse work experience in various fields. Shashank V started their career at Quanergy in 2022 as a Manufacturing Engineer, specializing in Electromechanical Systems such as LiDAR/Optics. Their responsibilities included conducting tests throughout the production stages, identifying malfunctions, and recommending improvements to ensure the products met safety and quality standards.

In 2023, Shashank joined multiple organizations as a community member. At Ingenii, they participated in the Data Engineering & Quantum Computing community, where they submitted algorithms, collaborated with quantum scientists, and received feedback on projects and papers. Shashank V also became a member of the Hugging Face Transformers Classrooms, working in a collaborative environment to learn and build ML-powered applications using free open-source technologies and state-of-the-art models. Additionally, they joined the Quantum Open Source Foundation (QOSF) as a community member, supporting the development and standardization of open tools for quantum computing. Their role involved pursuing activities and financial support related to upcoming open-source software for fault-tolerant universal quantum computers, as well as standardizing hardware interfaces and their compilation for cross-compatibility of quantum programming languages.

Apart from their community memberships, Shashank also became a member of Producter, a product management tool designed to be customer-driven. Shashank V had the opportunity to meet industry product leaders, gain insights, and exchange ideas and experiences about product-led growth and management.

In terms of academia, Shashank served as a Graduate Teaching Assistant at the University of Virginia, where they were involved in teaching Digital Logic Design. Shashank V also worked as a Graduate Research Assistant, specializing in Robotics Engineering and Control Systems Engineering. At the University of Bremen, they contributed to the Robotics Enabling Fully-Integrated Logistics Lines for Supermarkets (REFILLS) project, designing and constructing productive and safe robots. Shashank V implemented various navigation packages in the Robot Operating System (ROS) and integrated sensors such as Hokuyo LiDAR and Intel RealSense Camera. In addition, Shashank developed a PID controller for control systems and designed automated testing rigs for laser capture systems using MATLAB.

In terms of community involvement, Shashank joined several organizations as a community member. Shashank V became a member of the Global AI Hub, a leading global community for AI education and career opportunities, and also joined the IEEE community.

Overall, Shashank V Raghavan's work experience showcases their expertise in manufacturing engineering, electromechanical systems, quantum computing, machine learning, robotics engineering, control systems engineering, and product management.

Shashank V Raghavan holds a Master's degree in Computer Engineering from the University of Virginia. Before that, they completed their Bachelor of Engineering (BE) in Electronics and Instrumentation Technology from Dayananda Sagar College of Engineering in Bangalore. Shashank V also attended St. Joseph's Pre-University College, where they studied Computer Science. Shashank further pursued a Master's degree in Electrical Engineering from the University of Bremen. In addition to their formal education, Shashank has obtained several certifications in various fields, including AI product management, applied AI with Hugging Face Transformers, ethical hacking, quantum computing, and artificial intelligence in business strategy, marketing, cybersecurity, and neural networks. These certifications showcase their commitment to continuous learning and expanding their skills.