San Francisco, California, United States
Designed and oversaw AI projects including NLP, computer vision, and deep learning acceleration Managed a team of 8 AI engineers, planning research roadmap and deployment strategies Collaborated with product teams to deploy AI models in production with GPU acceleration
Led computer vision (CV) projects including image recognition and object detection Optimized CNN, ResNet, YOLO models using PyTorch and TensorFlow Mentored junior engineers and established standard model training and deployment processes Improved surveillance system recognition accuracy to 92% Published 2 internal AI technical papers to enhance team capability
Developed NLP models for text classification and sentiment analysis Used Python, Scikit-learn, and TensorFlow for data processing and model trainin Assisted in building a prototype chatbot for customer service Deployed NLP model that handled 80% of customer inquiries automatically Presented project results in internal technical sharing sessions