Yijing (Quinn) Li
Santa Clara,CA
Overview
4
4
years of professional experience
Work History
Vehicle Embedded Software Engineer
TuSimple
04.2020 - 01.2023
- Designed control logic for accessory subsystems lighting, horn, server thermal management, and sensor-cleaning actuators, using Simulink, MATLAB, and Python.
- Built automated, Apache Airflow-orchestrated pipelines to offload vehicle CAN and databag logs from Dockerized systems, convert formats, and land datasets in AWS S3 for daily DAGs and downstream analytics.
- Developed time-alignment and synchronization between truck CAN signals and databag streams to produce analysis-ready datasets.
- Performed vehicle error and latency analysis to diagnose issues and support fleet reliability and debugging.
Vehicle Control Engineer Intern
TuSimple
06.2019 - 09.2019
- Developed a testing suite based on AD5454 controller using Simulink.
- Added end-to-end latitudinal/longitudinal/accessory module tests with dynamic inputs and result visualization.
- Fully adopted by Control, Test and QA team, drastically reduced the time for debugging, in-car testing, and reliability validation.
Education
Master of Science - Machine Learning And Data Science
University of California, San Diego
La Jolla, CA12-2019
Bachelor of Science - Digital Signal Processing, Machine Learning
University of California, San Diego
La Jolla, CA12-2017
Skills
Languages: Python (scikit-learn, NumPy, Pandas, TensorFlow), SQL, MATLAB, Java, Shell
Frameworks / Libraries: Apache Airflow, scikit-learn, TensorFlow, NumPy, Pandas, limited usage of Apache Spark (MLlib) and Elasticsearch
Tools: Git, Linux, Simulink, Arduino, Jupyter Notebook
Patents
- Cloud-Based Processing of Logged Vehicle Data – U.S. published patent application 2024/0062589, co-inventor; cloud platform for processing logged CAN data from autonomous vehicle fleets and generating alerts and post-trip reports.
- Adaptive Illumination System for an Autonomous Vehicle – U.S. published patent application 2023/0391250, co-inventor; adaptive headlight control using sensor and map data to adjust road illumination for autonomous vehicles.
Timeline
Vehicle Embedded Software Engineer
TuSimple
04.2020 - 01.2023
Vehicle Control Engineer Intern
TuSimple
06.2019 - 09.2019
Master of Science - Machine Learning And Data Science
University of California, San Diego
Bachelor of Science - Digital Signal Processing, Machine Learning
University of California, San Diego