Xingping Chen
Engineer
Troy,MI
Summary
ADAS/Autonomous Vehicle Expert | KPI Pipeline Architect Crafting best-in-class automated/autonomous driving experiences through vigilant system engineering | Orchestrating insights from large data via automated pipeline. Extensive knowledge and solid Hands-On experience of ADAS/autonomous vehicle technology from concept to product, established by facilitating quality system integration alongside pioneering solutions. Supporting multi-level testing and feature performance evaluation and complex problem-solving. Automating large data analysis and giving team members quick feedback to leverage and work efficiently toward optimal results in challenging environments.
Overview
9
9
years of professional experience
Work History
Business/Engineer Insights Architect for Autonomy Vehicle
FORD MOTOR COMPANY
01.2022 - 01.2023
- Led the architecture design of automated metric pipeline of off-board data based on HPC/BigQuery/Looker Studio infrastructure, used Python to connecting multiple components, published interactive dashboards to showcase the whole framework within two-week after initial vehicle data became available at Google Cloud Platform
- Enabled highly scalable parallel metric developments based on available headcount and standardized tasks-splitting effort for frontend dashboard implementation by architecting the full stack process holistically
- Reduced tedious interface variations by 95% through the effort of advocating and systematizing silver dataset practice of metric development where other engineers face constantly changing baselines at early concept stage of projects
- Transferred multiple subjective performance evaluations into quantifiable objective Key Performance Index by integrating large data technology with extensive system ADAS/Autonomy vehicle experience and formulating meaningful metrics to support improvement claims based on public road test drive data
- Shorten result turnaround time to minutes via purposely built interactive KPI/metric dashboards, especially including Terabyte up-to-date vehicle fleet data, to facilitate leader/manager/engineer make educated decision when facing challenging requests
- Cut the learning curve of subsystem teams on designing objective KPIs to one-half by coaching and advising subject matter experts to formulate additional metrics along the framework development
- Made ad-hoc python scripts to bridge the gaps where data ingestion ETL pipeline was down and immediate data needs for downstream metric development, keep large team continue moving forward
Project Lead
FORD MOTOR COMPANY
01.2019 - 01.2022
- Led R&D project to expand hands-free driving operation domain from freeway to selected urban/rural roads, the anticipated hands-free coverage mileage will increase by 90% when customer vehicles get updated
- Leveraged Tableau’s visualization strength to show improvements over time and perform critical event triage vividly
- Guided and motivated the team to successfully pass project milestone reviews as planned even facing the challenge of short-handed situation by prioritizing and allocating limited resources from time to time
- Reduced vehicle model validation burden by 80% via automatic CI/CD pipeline by leveraging SIL/MIL simulation capability and compiling test case suites systematically
- Cultivated team capability to recognize team hurdles within 2-week by exploring and executing agile process into daily research routine, thus the team can take proper actions to address them earlier
- Lowered technical requirements on new analysts to a minimum by improving and unifying data analysis toolchain to accelerate the binning process for problem root cause analysis
- Caught 80% of software bugs and fixed them before moving to production phase by planning and orchestrating multiple stage public road test trips with fast turnaround large data analysis report
- Established clear traceability between system requirements and V&V test results by constantly aligning multi-level system requirements, functional safety effort ISO26262 with related data analysis.
Research Engineer
FORD MOTOR COMPANY
01.2014 - 01.2019
- Spearheaded first hands-free driving feature, BlueCruise, and delivered initial feature integrations in prototype vehicle with complete set of system engineering requirements plus accompanying SIL/HIL/in-vehicle V&V testing results
- Pioneered BlueCruise driving feature, ranked #1 by Consumer Reports for driver assistance system
- Accelerated the process of critical event report generation from 2 weeks to 2 hours by rearchitecting analysis tool to embrace parallel computation paradigm and optimizing data handling process among HPC and desktop PC
- Built the first analysis team from scratch for driving assistance technology department by developing a clear process with easy-to-use tool chain in MATLAB and training 20+ coworkers with limited automated driving background
- Boosted customer confidence toward automatic lane centering assist by leveraging multiple HMI clinic findings and emerging functional safety requirements, gained top recognition in this aspect among competitors in current markets.
Education
PhD EECS & MS Applied Statistics -
The Ohio State University
Columbus, OHMS Electrical Engineering -
Tsinghua University
BS Electrical Engineering -
Southeast University
Skills
- Python/MATLAB/GitHub
- SIL/MIL/HIL/Vehicle Testing
- Tableau, Looker Studio, SQL
- Automatic CI/CD for model evaluation
- System engineering/functional safety
- HPC Parallel Computation
- Automated Data Processing/GCP
- Robotic Operation System
- Process building/optimization
- Metric/KPI pipeline
- Workflow Development
- Collaborative design
Timeline
Business/Engineer Insights Architect for Autonomy Vehicle
FORD MOTOR COMPANY
01.2022 - 01.2023
Project Lead
FORD MOTOR COMPANY
01.2019 - 01.2022
Research Engineer
FORD MOTOR COMPANY
01.2014 - 01.2019
PhD EECS & MS Applied Statistics -
The Ohio State University
MS Electrical Engineering -
Tsinghua University
BS Electrical Engineering -
Southeast University
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