• Designed and implemented Perception Off-Board Data Preparation Pipeline over 20,000 Perception data with Python and Spark, providing Modeling Team with highly reliable, quality-checked data

• Developed Geo-Split Data Splitting Algorithm to split data according to Geometry location, eliminating overfitting and increasing perception accuracy by 1% ~ 3% for different models

• Deployed pipeline on AWS EC2 and S3 using Docker and Spinnaker

• Analyzed and Visualized data using Pandas and Bokeh, generating over 40 metrics across multiple dimensions on the quality of data collected, improving data label density by 27%

• Integrate with VerCD continuous delivery system to feed data and report to modeling team

• Designed and implemented large-scale unit-test system’s backend and frontend with Python and Javascript, detected fatal failures like collision and sharp-turn over 500 hours of simulation data

• Deployed unit-test system on 4 servers while adding report generation, logging and access control features

• Adding Traffic Light feature for simulation platform using Javascript, CSS, HTML, Vue.js

• Analyzed and sliced important scenarios for analysis in Python, improve colleagues’ work efficiency by 95%