Experience

Machine Learning Engineer · San Francisco, CA

• Led robotics vision projects (face recognition, risk-area detection and avoidance) from data strategy and model training to deployment on edge devices and robot fleets via ROS perception modules.
• Built real-time multi-modal sensor fusion pipelines for terrain analysis and autonomous navigation; fine-tuned and compressed LLMs for robot instruction following under edge latency constraints.
• Shipped production perception features with hardware, robotics and operations teams, following privacy-by-design practices.

Machine Learning Engineer · San Diego, CA

• Designed parallelized data analysis pipelines for large-scale datasets.
• Implemented an image analysis model for quality metrics: categorization, object detection, lighting conditions and aesthetic scoring.

AI/ML Industry 4.0 Intern

• Built an automated coating-inspection system for laser sensors with over 92% accuracy, using ROI segmentation, GAN-based synthetic data and an unsupervised normalizing-flow detector.
• Designed a 3D-printed inspection rig with Raspberry Pi for the production line.

Deep Learning Algorithm Engineer · Shenzhen

• Optimized YOLOv8 for production-line debris detection on NVIDIA Jetson Nano (96% AP).
• Used Stable Diffusion editing to augment rare scenes.