Devendra Vyas
About Devendra Vyas
Devendra Vyas is an ML Engineer (Werkstudent) at Edge Case Research in Munich, Germany, where he specializes in Multiple Object Tracking algorithms. He has a background in software development and holds a Master's degree in Informatics from Technical University Munich.
Work at Edge Case Research
Devendra Vyas has been employed at Edge Case Research as an ML Engineer (Werkstudent) since 2020. In this role, he focuses on researching Multiple Object Tracking (MOT) algorithms. His responsibilities include designing safety edge cases for perception pipelines in Advanced Driver Assistance Systems (ADAS). He is also involved in serving models using Pytorch serve within a Kubernetes pipeline and participates in the Hologram product development team, which enhances the safety of perception software through enterprise analytics platforms.
Education and Expertise
Devendra Vyas is currently a Master Student at Technical University Munich, where he has been studying since 2019. He achieved a Master's degree in Informatics from the same institution, completing his studies in 2021. Prior to this, he earned a Bachelor’s Degree in Computer Science from The LNM Institute of Information Technology, where he studied from 2012 to 2016. His educational background supports his expertise in machine learning and software development.
Previous Work Experience
Before joining Edge Case Research, Devendra Vyas worked at TerraLoupe as an ML Engineer (Werkstudent) for six months in 2019. He also gained experience as a Udacity Self-Driving Car Nano-Degree Student from 2017 to 2018. His earlier roles include serving as a Corporate Trainer/Speaker at MTS - Sistema Shyam Teleservices Ltd in 2015 and as a Developer Intern at WeDoSky (visualAI) in the same year. Additionally, he worked as a Research Engineer at CNRS in France from 2017 to 2018.
Research and Development Contributions
Devendra Vyas conducts proof of concept work on publicly available tracking datasets, such as JAAD. His contributions extend to general software development, where he adds various model serving capabilities. His involvement in research and development focuses on enhancing the functionality and safety of machine learning applications in real-world scenarios.
Professional Affiliations
Devendra Vyas has been involved in various professional roles throughout his career. He served as a Coordinator for the LNMIIT Programmer's Group from 2014 to 2015 and participated in a project with the Indian Institute of Technology, Delhi, as part of ICare4Delhi in 2013. These experiences reflect his commitment to collaboration and knowledge sharing within the tech community.