陈 陈

I’m an R&D Engineer with 2+ years of experience at a Fortune 500 automotive R&D center, focused on turning research breakthroughs into production-ready AI. I specialize in Generative AI (LLM, RAG, Agents), Computer Vision, and Machine Learning, with an emphasis on building end-to-end systems.

In my current role, I’ve developed intelligent fault diagnosis for fuel cells using clustering-based unsupervised data annotation and ML classifiers designed for imbalanced data. I also built an LLM-powered data analytics agent that enables non-technical users to clean, analyze patterns, and cluster data through natural-language dialogue.

On the NLP/agent side, I’ve delivered multilingual dialogue systems with sentiment analysis and language detection, including RAG knowledge base design and agent architecture. I’m comfortable bridging system design, model behavior, and practical deployment needs to get results people can use.

I hold 4 patents and have 1 first-author publication, reflecting a track record of solving complex industrial challenges with data-driven engineering. My computer vision work includes robust underwater tracking (ResNet + lightweight enhancement, real-time 25fps) and occlusion-resilient tracking using a ResNet-Transformer approach with progressive occlusion augmentation.