Jasmine Chen

Jasmine Chen is an accomplished software engineer with a robust background in deep learning and software development. Experience includes positions at NVIDIA as a Deep Learning Software Engineer Intern, where a framework for INT8 quantization and fine-tuning of convolutional neural networks was developed, and at SYSU-CMU International Research Institute as a Research Assistant, focusing on optimizing the Faster-RCNN method for vehicle detection. Additionally, during an internship at National Instruments, a tool for accessing internal data structures was created. As a Senior Software Engineer and Technical Lead Manager at Google from 2018 to 2023, contributions were made to the infrastructure for large language model training and fine-tuning. Educational background encompasses a Master's degree and Bachelor's degree from Sun Yat-sen University, both in Computer Science and Electronic Information Science and Technology, respectively, along with a degree in Electrical and Computer Engineering from Carnegie Mellon University, all achieving high academic excellence.