Algorithm Research Engineer | Deep Learning & Computer Vision
Birth: Sep 04, 1991
Nationality: Chinese
Marital Status: Single
Email: maoyuecheng@hotmail.com
Location: Shanghai, China
Education
2011 – 2015 Jade University of Applied Sciences • Bachelor of Engineering • Communication and Information Technology
2015 – 2017 Technical University of Munich • Master of Science • Electronics and Information Technology Focus: Automation, Machine Learning, Deep Learning
Work & Practical Experience
2014.03 – 2014.08 Internship • Volkswagen Group (Wolfsburg) • Service Factory Topics: AVR‑BASCOM, TFT Display, Wireless Module, PCB Design
2016.09 – 2016.12 Internship • TUM • Dynamic Human‑Robot Interaction Lab Tasks: Data collection & evaluation setup for Deep DMP based on CNN & ROS
2017.01 – 2017.09 Master Thesis • TUM Topic: Deep‑Dynamic Movement Primitives Learning with CNN Tech: TensorFlow, ROS, RNN, DMP, KUKA Robot, Trajectory Planning
2018.04 – Present Algorithm Engineer • iFLYTEK (Smart City BG) Performance: A • Focus: Computer Vision & Deep Learning
Key Projects
OCR Text Detection & Recognition for documents
Bean sorting algorithm for color sorter machine
Template matching for structured documents
Deep learning algorithm deployment (C++ / .so)
Object counting (rebar counting)
Vehicle license plate detection
Technical Skills
Deep Learning: MXNet, PyTorch, TensorFlow
Fields: Object Detection, Segmentation, OCR, NLP
Languages: Python, C/C++, Matlab, BASCOM
Systems: Linux, ROS
Languages
Chinese: Native
German: Proficient
English: Proficient
Awards & Publications
2013–2014: German National Scholarship (Deutschlandstipendium)
Conference Paper: IEEE‑RAS International Conference on Humanoid Robots 2017