Urveen Puri

Urveen Puri has a diverse work experience spanning several companies and roles. Currently, they hold the position of Embedded Controls Engineer at Locomation, Inc. Their responsibilities include designing and developing algorithms for vehicle control and formation control for Autonomous Relay Convoy of Trucks. Urveen also conducts testing and collaborates with cross-functional senior leadership and autonomous vehicle software engineers. In this role, they have made significant contributions such as performing system identification, developing plant models, evaluating control strategies, and contributing to the hardware and software architecture.

Prior to their current role, Urveen worked as an Algorithm Engineer at ZF Group from 2020 to 2021. Before that, they held the same position at Veoneer from 2016 to 2020. Urveen also worked as an Algorithm Application Engineer at ZF Group from 2014 to 2016.

In addition to their industry experience, Urveen has academic experience as a Graduate Student Instructor at the University of Michigan in 2013.

Earlier in their career, they worked as a Project Trainee at Larsen & Toubro Limited from 2011 to 2012 and as a Student Intern at Mahindra & Mahindra in 2011. At Mahindra & Mahindra, they worked on a project focused on supplier quality assurance and gained exposure to various management and quality control tools.

Overall, Urveen Puri has a strong background in algorithm development, control systems, and automotive engineering, with experience in both industry and academic settings.

Urveen Puri completed a Master's degree in Mechanical Engineering from the University of Michigan from 2012 to 2014. Prior to that, they obtained a Bachelor's Degree in Mechanical Engineering from Sardar Patel College of Engineering between 2008 and 2012. Their high school education was completed at Bhavan's Junior College from 2006 to 2008. Before that, they attended Canossa High School from 2001 to 2006. Additionally, Urveen Puri has obtained various certifications, including "Code Generation for Classic AUTOSAR Software Components," "Embedded Coder for Production Code Generation," "Simulation based Testing with Simulink," "Structuring Machine Learning Projects," "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization," "Neural Networks and Deep Learning," "Machine Learning," "MATLAB Fundamentals for Automotive Applications," "Simulink for Automotive System Design," "Stateflow for Automotive Applications," "Performance Driver Training --Lvl 1," "Introduction to Brake Control Systems: ABS,TCS and ESC," "Vehicle Dynamics for Passenger Cars and Light Trucks," "Simulink for System & Algorithm Modeling," and "Certified LabView Associate Developer." These certifications were obtained from various institutions including MathWorks, Coursera, Autoliv-Nissin Brake Systems, SAE International, and National Instruments.