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Jingfei Xu
Intern/Junior Software Engineer specializing in AI/ML and cloud-based systems
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Embedded/robotics software engineer with Hyundai Motors experience who owned an AI-driven perception validation pipeline using a Transformer-based approach to generate stable synthetic in-cabin audio for autonomy/ASR testing, cutting downstream testing time by 50%+. Has hands-on ROS integration (IMU sensor streaming, inference, control nodes), MQTT-based distributed messaging, and cloud/container deployment experience (Docker, Node/Express, AWS, CI/CD).
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Key Strengths
- Owned and delivered end-to-end AI-driven perception validation pipeline (intern project)
- Improved model robustness via root-cause analysis and data imbalance remediation
- Built scalable synthetic test-data pipeline that reduced downstream testing time by 50%+
- ROS-based modular node integration (sensor -> inference -> control) with timing/sync validation
- Debugged real-time inference instability by profiling, filtering, and window synchronization
- Experience deploying AI-enabled systems with Docker and AWS managed services
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