Junchuan Zhang (Jacky)
Software Engineer | Automotive Technology | JLR UK
Graduate Software Engineer at Jaguar Land Rover (JLR), specialising in vehicle connectivity, diagnostics, and software testing. Academic background includes Merit MSc in Rehabilitation Engineering and Assistive Technologies (UCL) and 1st Class BSc in Computer Science and Electronic Engineering (University of Liverpool).
Current Work at JLR
Contributing to next-generation vehicle technologies:
- DCS (Data Consent Service): Development and maintenance of vehicle data consent management systems for user data permissions and regulatory compliance
- SOVD (Service-Oriented Vehicle Diagnostics): Cloud-based diagnostic services for remote vehicle health monitoring and predictive maintenance
- Emergency Call Systems: End-to-end testing for Bcall (Breakdown Call) and Ecall (Emergency Call) systems, ensuring reliability and safety compliance
Technical Expertise
Testing & Quality Assurance
- Behaviour-driven development with GTest and Behave for C++ services
- Docker containerisation for acceptance testing
- Robot Framework for automated AWS service testing
- AWS XRay integration for test case generation and distributed tracing
- Python scripting for test automation
Software Development
- C++ development for embedded and vehicle systems
- Microservices architecture and integration
- RESTful API design, development, and testing
DevOps & Cloud Infrastructure
- Kubernetes container orchestration
- GitLab CI/CD pipeline development
- AWS cloud services (S3, deployment, monitoring)
- Datadog observability
Additional Capabilities
- Full-stack web development (React, Node.js)
- Mobile application development (Flutter)
- AI/ML integration and implementation
- Database design and management
Project Highlights
My portfolio spans enterprise systems, AI applications, and embedded devices:
- Enterprise Workflow System — Production deployment for UK mechanical manufacturing company
- OCR Product Scanner — AI-powered inventory management system in active production use
- AI-Powered Productivity Apps — Personal tools with intelligent automation
- Assistive Technology Devices — Voice-controlled gimbal system for accessibility (UCL project)
- Health-Monitoring Wearables — Smart socks for early heart attack detection (UoL project)
- Autonomous Drone Control — PID-based quadcopter stabilisation system
Explore my About Me page for full background or Blog for detailed project documentation.