Über Shiqing
Cloud-native engineer with hands-on experience in Kubernetes (AWS EKS), distributed systems, and automated data pipelines, with a strong background in automotive simulation and data-driven engineering environments.
I design and operate scalable platforms that transform complex simulation and engineering workflows into reliable, production-ready systems. My background combines software development (TypeScript, C), cloud infrastructure, and large-scale batch workload optimization across heterogeneous Linux and Windows environments.
I specialize in stabilizing distributed toolchains, integrating simulation-based systems, and building end-to-end automation — from data ingestion and validation to structured parameter provisioning and reproducible analytics
Chinesisch
Muttersprachlich oder zweisprachig
Deutsch
Verhandlungssicher
Englisch
Verhandlungssicher
Vor Ort möglich
Stuttgart (bis zu 50 km)
Projekt- und Berufserfahrung
- IPG Automotive GmbHHeute Software Engineerin im Automotive-UmfeldMASCHINENBAUApril 2023 - Heute (3 Jahre und 4 Monate)Stuttgart, DeutschlandDesigned and implemented an event-driven TypeScript connector triggered by Git-based workflows, managing end-to-end data ingestion, transformation, validation, and structured provisioning into web applications
- Built automated file-processing pipelines with parsing and mapping correction logic
- Ensured metadata consistency and traceable multi-system integration
Operated and optimized a Kubernetes-based cloud platform on AWS (EKS) running large-scale batch and scheduled workloads across Linux and Windows environments.- Diagnosed production container failures and resolved CPU/memory bottlenecks
- Tuned workload scheduling and concurrency for improved throughput
- Integrated S3, IAM, ECR, and CloudWatch into CI/CD execution pipelines
- Improved platform stability and scalability through monitoring and root-cause analysis
Developed a web application for structured processing and KPI-based analysis of test and simulation data.- Implemented filtering, resampling, signal alignment, and reproducible KPI calculations
- Automated scenario-based evaluation workflows and data visualization
Contributed to distributed system integration within a data-centric engineering toolchain.- Defined service interfaces and stabilized automated inter-service data flows
- Institute of Vehicle Systems Engineering Karlsruhe Institute of Technology (KIT)Research AssociateJuni 2019 - März 2023 (3 Jahre und 9 Monate)Research on improving the reliability of automated vehicles:
- •Development and validation of functions for vehicle integration
- •Creation of models and execution of fault diagnosis
- •Simulations in Software-in-the-Loop (SiL) and Vehicle-in-the-Loop (ViL)environments
Development of safe architectures for automated driving:- Modeling of engine faults and monitoring of sensors and actuators
- Integration of developed solutions into vehicle prototypes
Optimization of connected electric vehicles:- Vehicle modeling and acquisition of relevant data
- Development of fault models and neural networks for diagnosing powertrain and engine faults
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Ausbildung und Abschlüsse
- Master's degreeKarlsruhe Institute of Technology (KIT)2018Master's degree
- BachelorHefei University of Technology (China)2014Bachelor