Hongguang Chen

Four months later, my former employer invited me to work as remote contractor, leveraging my deep familiarity with platform's operations. In this role, I primarily handle problem consultations and troubleshoot complex issues.

Drove critical projects in autonomous driving system integration and development, pivotal in R&D for Inceptio's mass-produced autonomous driving models.

• Led development of Inceptio Process Manager (IPM) to optimize SOC module startups and monitoring modes.(Linux, C++, Multi-SOC)
• Streamlined vehicle update processes by decoupling sensor upgrades from core system dependencies. (LiDAR, Radar, Camera, Network)
• Architected universal sensor diagnostic system, deploying real-time monitoring dashboards for fleet-wide operational efficiency. (Linux, C++, Python, ROS)
• Developed robust data processing tools for efficient data quality assessment. (Python, C++)
• Provided comprehensive support for foundational software systems within the AD group, optimizing features and addressing technical challenges.
• Spearheaded automated testing script development, accelerating error detection and improving development efficiency. (Python, Shell)

Led development of Sense Rover (Autonomous Driving Demo System) on Nvidia Tx2 platform. Utilized ROS1 for agile algorithm testing and learning. （C++, Python, ROS, PyTorch, CUDA, Opensource Hardware）

• Developed sensor drivers and algorithm abstraction layer for seamless integration.
• Directed fundamental algorithm optimization, ensuring system reliability.
• Managed project engineering, ensuring quality and stability.
• Oversaw open-source hardware platform migration.
• Authored case studies and demo code for user guidance.

During my internship at Jimi IoT, I developed a Driver Monitoring System (DMS) utilizing MTCNN for accurate detection of risky driver behaviors. I also implemented a universal training framework, contributed to dataset collection, and optimized network structures for enhanced efficiency. (Python, Pytorch)

During my internship at SenseTime in Shenzhen, I spearheaded the implementation of a self-driving demo system based on Nvidia's "End to End Deep Learning for self-driving cars." This involved constructing mechanical and electronic control system prototypes, optimizing network structures, managing data collection and cleaning processes, and ensuring smooth product mass production and delivery by providing on-site technical support.