CV

General Information

Full Name Vardeep Singh Sanhu
Date of Birth 14th April 1996
Languages English, German, Punjabi

Experience

  • Jan 2023 - Present
    Perception Engineer
    Motor AI GmbH, Berlin
    • Camera-Lidar-Radar Fusion Model - Low-Level Latent Fusion Model for Multi-view camera, LiDARs, and RADARs to solve 3D Detection and Lane Segmentation. - Implemented TensorRT plugins for unsupported operation. CUDA accelarations for parallelizable operations. Used C++, CUDA, TensorRT, PyTorch.
    • Monocular 3D Detection - Developed a 3D Object Detection model on monocular images. Developed TensorRT engine and inference in C++, CUDA. - Deployed on the test vehicle achieving 3x inference speedup after quantization.
    • Lidar based 3D Detection - Deployed LiDAR-only model for 3D detection. Developed TensorRT engine resulting in 24 FPS inference speed on the test vehicle.
    • Face and Number Plate Detection and Blurring Developyed and deployed the model at 100FPS on test vehicle.
  • May 2022 - Nov 2022
    Master Thesis Student
    CARIAD SE, Mönsheim
    • RADAR-based Moving Object Segmentation
    • Developed a novel temporal transformer network.
    • Utilized in-house Porsche RADAR Dataset along with RadarScenes dataset.
    • Achieved state-of-the-art results with 12% improvement over baseline.
    • Published research paper in ICRA under the guidance of Prof. Dr. Cyrill Stachniss and Uni-Bonn IPB Lab.
    • Used Python libraries like PyTorch, Numpy, Pandas, and Open3D.
  • Dec 2022 - Apr 2022
    Computer Vision Intern
    Robidia GmbH, Cologne
    • Developed an identity tracking and motion prediction suit for the camera slider.
    • Implemented Kalman Filter-based motion prediction of the person-of-interest.
    • Deployed the Deep Learning model on NVIDIA edge device at 60 FPS.
  • Jul 2021 - Nov 2021
    Deep Learning Intern
    SCREWERK GmbH, Cologne
    • Developed a deep network to classify camera images based on the density of screws.
    • Established WebSocket connection of frontend UI with the Deep Learning model from scratch.
    • Resulted in full automation of the machine.
  • Aug 2020 -- Jun 2021
    Graduate Student Assistant, HiWi
    Stachniss Lab, University of Bonn
    • Worked on sensor synchronization and calibration of the data collection vehicle.
    • Researched classical 3D CV approaches to removal of dynamic objects from LiDAR scan.

Education

  • 2022
    M.Sc in Mobile Sensing and Robotics.
    University of Bonn, Bonn, Germany
    • Studied courses like Computer Vision, Techniques of Self-Driving Cars, Mobile Sensing Robotics, Sensor and State Estimation, Deep Learning for Visual Recognition, and Point Cloud Processing.
    • Took additional elective courses like Modern C++ for Computer Vision and Vision System which provided practical PyTorch and C++ experience.
    • Grade - 1.4
  • 2017
    B.Tech. in Electronics and Communications Engineering
    Guru Nanak Dev University, India
    • The course covered essential topics in Embedded Systems, Microelectronics, and mathematical topics like Linear Algebra, Statistics, and Higher-Order Calculus.
    • I also took elective courses from the Computer Science Department like Computer Architecture and Fundamentals in Computer Sciences.
    • Grade - 1.7

Skills

  • Development.
    • C++.
    • CUDA.
    • OpenCV.
    • LibTorch.
  • Deployment.
    • TensorRT Quantization and Plugins.
    • NVIDIA Orin Driveworks, DRIVE OS.
    • Docker.
    • CI/CD Pipelines.