Experience

1. Prediction Algorithm Engineer

   SenseTime (IAG Autonomous Driving) March 2023 – July 2024
   • Optimized lane-change algorithms based on trajectory smoothing to improve human-like driving behavior.
   • Deployed DTP prediction-planning joint model on vehicle platform with quantization and inference acceleration.
   • Reduced prediction computing costs via parallel computing and operator fusion.
   • Enhanced data flow and cross-module communication for autonomous driving systems.
   • Migrated prediction modules to L4 autonomous driving framework for improved stability and scalability.

2. Prediction Algorithm Engineer

   SAIC AI Lab (formerly SAIC Motor AI Lab) October 2021 – March 2023
   • Implemented and optimized deep learning encoders (VectorNet, LaneGCN, GoHome) for trajectory prediction.
   • Improved trajectory continuity and computational efficiency for real-time autonomous driving.
   • Deployed and validated LaneGCN model with latency analysis and unit testing.
   • Developed short-term and lane-sequence prediction combined with HD maps.
   • Built data closed-loop pipelines for model iteration and scene classification.

3. Robotic Perception & SLAM Intern

   Bosch China July 2021 – October 2021
   • Built multi-sensor fusion platform with cameras and LiDARs for SLAM calibration.
   • Tested SOTA semantic segmentation models on KITTI dataset.
   • Optimized point cloud processing using PCL and RANSAC for real-time performance.

Education

1. MS in Automation Systems

   Technical University of Berlin September 2018 – December 2021
   Focused on data mining algorithms, robot path planning (RRT, A*), and reinforcement learning in robotic decision-making. GPA: 1.8.

2. BS in Vehicle Engineering

   Tongji University September 2013 – July 2018
   Gained foundational knowledge in automotive mechanical & electrical systems, and automation control (PID, sliding mode, backstepping). GPA: 4.33/5.0.

Skills & Hobbies

Technical Skills

Python

PyTorch

C/C++

ROS

MATLAB/Simulink

Machine Learning

Deep Reinforcement Learning

Data Analysis & Visualization

Cloud Computing & Parallel Computing

Domain Knowledge

Autonomous Driving Prediction

SLAM & Sensor Fusion

Robotics & Path Planning

Model Deployment & Optimization

Awards

N/A (Optional to add later)

∙ Present

Languages

100%

Chinese (Mandarin) Native

80%

English Fluent

60%

German Intermediate