{"data":{"jobs":{"edges":[{"node":{"frontmatter":{"title":"China Undergraduate Intern","company":"VMware","location":"Beijing, China","range":"Aug. 2020 - Jul. 2021","url":"https://www.vmware.com/"},"html":"<ul>\n<li>Developed and shipped a web application for the VMware Cloud Platform to generate CodeGraph and Summary information with BERT.</li>\n<li>Built and shipped web applications to convert Latex table and equation images into markdown files and deploy them to the VMware Cloud Platform with Kubernetes.</li>\n<li>Contribute to a meeting summary service by converting a zoom meeting video into slides with cpations and time stamps.</li>\n</ul>"}},{"node":{"frontmatter":{"title":"Development and Research Engineer Intern","company":"Baidu AI LAB","location":"Beijing, China","range":"Aug. - Nov. 2020","url":"https://www.paddlepaddle.org.cn/"},"html":"<ul>\n<li>Developed and refined a commodity recognition Model for the Baidu AI LAB using Python, Pytorch, and Lua.</li>\n<li>Manually tested and retrained large scale Search By Image model for the Alibaba by using Hadoop and PaddlePaddle.</li>\n<li>Contributed to a model in warehouse counting models which merges features from multiple models to generate a clear inference for the blocked commodities. PaddlePaddle and Faster-RCNN are used to train the model.</li>\n</ul>"}}]}}}