Deepanshu Bansal

Software Engineer at Serve Robotics

Old Toronto, Ontario, Canada
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Summary

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Rockstar
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Top School
Deepanshu Bansal is a robotics-focused software engineer with six years of hands-on experience building autonomy stacks for ground and aerial vehicles, from motion planning and probabilistic tracking to fleet management and recovery strategies. He has helped bring autonomous cargo and service vehicles to operational readiness at AeroVect and Serve Robotics, and has implemented ROS-based systems, Gazebo integrations, and AWS-backed fleet telemetry in production settings. With an M.Eng. in Robotics and AI from the University of Toronto and a background in embedded systems, he bridges low-level firmware and high-level planning, having also led a university AV motion-planning team and managed junior engineers. Notably, he has shipped multidisciplinary solutions—like a Docker-deployed ROS stack for industrial manipulators and waypoint-following motion planners on commercial self-driving fleets—demonstrating an ability to move research into deployed products.
code6 years of coding experience
job6 years of employment as a software developer
bookBachelor of Technology (B.Tech.) Electrical Engineering, Bachelor of Technology (B.Tech.) Electrical Engineering at Delhi Technological University (Formerly DCE)
bookMaster of Engineering Robotics and AI, Master of Engineering Robotics and AI at University of Toronto
languagesFrench, English, Hindi
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Github Skills (37)

simulation10
client-library10
robotics10
gazebosim10
simulator10
rendering10
command-line-interface10
ignition10
eigen10
api10
robot-simulator10
robotics-simulation10
cpp10
sensor10
ros10

Programming languages (2)

C++Python

Github contributions (5)

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deepanshubansal01/igng_test

May 2022 - May 2022

Contributions:2 pushes, 1 branch in 1 day
jacobperron/rep

Jun 2022 - Jun 2022

ROS Enhancement Proposals
Contributions:5 reviews, 7 comments in 7 days
proposalsrosros2enhancement
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