Summary
Overview
Work History
Education
Skills
Languages
Timeline
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Yaoying Wang

Yaoying Wang

Berlin

Summary

Highly-motivated employee with desire to take on new challenges. Strong work ethic, adaptability, and exceptional interpersonal skills. Adept at working effectively unsupervised and quickly mastering new skills.

Overview

5
5
years of professional experience

Work History

Junior Sensor Simulation Expert

DB InfraGO GmbH
Berlin
07.2023 - Current
  • Developing and validate high-fidelity digital twins of perception sensors, focusing on camera and LiDAR modalities.
  • Conducting simulation-based safety verification against railway standards and norms.
  • Integrating physically realistic models in NVIDIA Omniverse software for virtual testing scenarios.
  • Researching state-of-the-art methods in sensor simulation and contributed to ongoing innovation efforts.

Sensor Simulation Intern

DB Netz AG
Berlin
10.2022 - 06.2023
  • Built virtual representations of optical sensors in Omniverse with physics-based realism.
  • Automated and optimized sensor placement and evaluation within digital railway environments.
  • Supported digital engineering workflows and collaborated across simulation and safety teams.

LiDAR Data Labeler

LIANGDAO GmbH
Berlin
03.2022 - 06.2022
  • Labeled and validated 3D point cloud data for object detection and semantic segmentation tasks.
  • Participated in software testing cycles for labeling tools used in autonomous driving development.

Master Thesis

Technische Universität Berlin
Berlin
04.2022 - 02.2023
  • Title: Development of an algorithm to to find relevant plants along a railway
  • Grade: 1.0

Project: Object Detection Models Evaluation

Technische Universität Berlin
Berlin
10.2021 - 03.2022
  • Compared 2D/3D object detectors based on A2D2 dataset, evaluated metrics e.g., precision-recall, AP, F1 score for autonomous perception.

Project: Battery Design & Simulation

Technische Universität Berlin
Berlin
10.2020 - 03.2021
  • Applied Kalman filter and balancing algorithms to reduce SOC variance across battery packs below 5%.

Project: Diesel Engine Modeling

Technische Universität Berlin
Berlin
10.2020 - 03.2021
  • Built and optimized engine simulation models using statistical tests (e.g., D-opt, T-test).

Education

M.Sc. - Automotive Systems

Technische Universität Berlin
Germany
06.2023

B.Sc. - Electrical Engineering and Automation

Dalian Maritime University
China
07.2019

Skills

  • Python
  • 3D modeling
  • C
  • MATLAB/Simulink
  • NVIDIA Omniverse integration
  • ROS2
  • Git
  • OpenCV
  • Linux
  • JIRA
  • Sensor Simulation
  • Photogrammetry
  • Perception Systems
  • Camera Modeling
  • Object Detection & Tracking
  • Deep learning

Languages

Chinese (Mandarin)
First Language
English
Advanced (C1)
C1
German
Upper Intermediate (B2)
B2

Timeline

Junior Sensor Simulation Expert

DB InfraGO GmbH
07.2023 - Current

Sensor Simulation Intern

DB Netz AG
10.2022 - 06.2023

Master Thesis

Technische Universität Berlin
04.2022 - 02.2023

LiDAR Data Labeler

LIANGDAO GmbH
03.2022 - 06.2022

Project: Object Detection Models Evaluation

Technische Universität Berlin
10.2021 - 03.2022

Project: Battery Design & Simulation

Technische Universität Berlin
10.2020 - 03.2021

Project: Diesel Engine Modeling

Technische Universität Berlin
10.2020 - 03.2021

M.Sc. - Automotive Systems

Technische Universität Berlin

B.Sc. - Electrical Engineering and Automation

Dalian Maritime University
Yaoying Wang