Summary
Overview
Work History
Education
Skills
References
Affiliations
Accomplishments
Certification
Languages
Websites
Timeline
Generic
Kshitij Prasad

Kshitij Prasad

Ingolstadt,BY

Summary

I have worked with dynamic robotics and have hands-on experience at AKKODiS, specializing in ROS2, SLAM, and sensor fusion. Achieved a 40% reduction in integration time for autonomous systems while enhancing team collaboration. Proficient in Programming (Python), I excel in problem-solving and optimizing algorithms for advanced robotic applications.

Overview

3
3
years of professional experience
1
1
Certification

Work History

Werkstudent

AKKODiS
Ingosltadt, BY
04.2025 - Current
  • Building a high-fidelity digital twin of the DRFT autonomous platform and its test track in CARLA, enabling closed-loop simulation of perception → planning → control ahead of track trials.
  • Bridged ROS 2 Humble ↔ CARLA (ros-bridge) and streamed synchronized RGB, depth, and LiDAR data into the Nav2-based autonomy stack, trimming integration time by ~40 % and automated 15 + Critical Scenarios.

Intern

AKKODiS
10.2024 - 04.2025
  • Worked on autonomous navigation and perception for TurtleBot3 using ROS2, Nav2, Gazebo, SLAM and RealSense Depth Camera, optimizing exploration and path-planning solutions.
  • Implemented Custom Behavioury Planners and visualized them using Simulation Tools such Gazebo, and Rviz2 and further testing on the Real Robot.
  • Assisted in business pitches, mapping market opportunities where Akkodis' Software Embedded Solutions could drive impact across industries.

Werkstudent

AKKODiS
Ingolstadt, Bayern
05.2024 - 10.2024
  • I have been involved in developing and integrating critical components for a service giveaway robot using ROS2 environment - Nav2, SLAM, and Gazebo working with controllers, perception modules, and trajectory planners.
  • I am also working with an Intel Realsense Depth Camera, and Integration of LiDAR with real time image processing using YOLO models to detect giveaway objects and integrate them with the Nav2 to create custom trajectories and behaviours for object manipulation.
  • I also develop and implement custom ROS2 plugins to enhance Nav2 features and make the use case fit for giveaways.

Team Member

Schanzer Racing
Ingolstadt
10.2022 - 10.2024
  • At Schanzer Racing Formula Student, I worked with Matlab, C++, and ROS2 on differential drive robotics.
  • I also helped select LiDAR solutions and managed budgeting for technical components.

Team Member

Pixel Park
11.2023 - 11.2023
  • At Pixel Park, we developed a LiDAR-based parking detection system to identify and map available spots, reducing search time and CO2 emissions.
  • I worked on sensor calibration, software integration, and GUI development, ensuring accurate detection and a seamless user experience.

Education

Bachelor - Autonomous Vehicle Engineering

Technische Hochschule Ingolstadt
Ingolstadt, BY
03-2026

T-Kurs/Studienkolleg -

Freie Universität Berlin
01.2022

Skills

  • Python and C programming
  • Robotics and SLAM
  • Path planning and computer vision
  • Sensor fusion techniques
  • Version control with Git
  • MATLAB
  • Linux operating system proficiency
  • Debugging and algorithm optimization
  • Analytical skills and problem-solving
  • Team collaboration and communication

References

Prof. Dr.-Ing. Michael Mecking, Prodekan (Elektrotechnik)

Affiliations

  • Regional Tennis Gold Medalist 2018

Accomplishments

  • District Topper for English and Mathematics in Grade 12
  • Learnt German A1-C1 in 10 months.

Certification

  • German C1
  • 1E Electrical Safety Certification

Languages

English
Native/ Bilingual
German
Professional
Hindi
Native/ Bilingual
Dutch
Elementary
French
Limited

Timeline

Werkstudent

AKKODiS
04.2025 - Current

Intern

AKKODiS
10.2024 - 04.2025

Werkstudent

AKKODiS
05.2024 - 10.2024

Team Member

Pixel Park
11.2023 - 11.2023

Team Member

Schanzer Racing
10.2022 - 10.2024

Bachelor - Autonomous Vehicle Engineering

Technische Hochschule Ingolstadt

T-Kurs/Studienkolleg -

Freie Universität Berlin

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Kshitij Prasad