Deepanshu Bansal

Deepanshu Bansal has a diverse range of work experience in the field of robotics and software development. Deepanshu most recently worked as an Autonomy Engineer at AeroVect, starting in 2022. Prior to that, they were a Software Engineer Intern at Open Robotics, where they developed code for features involving ROS2 and simulation software Gazebo. Deepanshu also analyzed source code to identify bugs and functionality issues.

From 2021 to 2022, Deepanshu was the Motion Planning Lead at aUToronto, where they developed the motion planning architecture for a self-driving vehicle and managed a team of 5 students.

In 2020, they worked as a Robotics Software Developer at Odico A/S, where they developed a ROS stack for a tile cutting application and implemented recovery strategies in case of robot failure. Deepanshu also developed a fleet management system using AWS IoT and Dynamo DB.

Deepanshu's work experience also includes a Deep Learning Internship at Pucho Technology Information Private Limited in 2020, where they worked on projects involving COVID-19 molecular drug generation and sentiment analysis of drug reviews.

Additionally, they have experience as a Research Assistant at Delhi Technological University (formerly DCE) in 2019, a Robotics Engineer Intern at Université du Québec à Trois-Rivières in 2019, and an Embedded and Control Engineer at the Autonomous Underwater Vehicle - Delhi Technological University (DTU-AUV) from 2017 to 2019.

In 2018, Deepanshu worked as an Embedded Design Intern at Electrifuel Private Limited, where they assisted in the development of a battery charging station and worked on embedded firmware development and PCB designing.

Overall, Deepanshu Bansal has a strong background in robotics, software development, and deep learning, with experience in various roles and projects.

Deepanshu Bansal has a Master of Engineering (MEng) degree in Robotics from the University of Toronto. Prior to that, they obtained a Bachelor of Technology (B.Tech.) degree in Electrical Engineering from Delhi Technological University (formerly DCE). In addition to their formal education, Deepanshu has also obtained several certifications, including the Deep Learning Specialization from deeplearning.ai, the Tensorflow in Practice Specialization from Coursera, the Python Data Structures certification from Coursera, the Machine Learning certification from Coursera, and the embedded systems microcontroller input-output certification from edX.