Xiaoying Yang

• Worked with the marketing team to analyze users preferences and to generate recommendations for courses and events.
• Applied GPT-3 for data augmentation .
• Incorporating the model into Android APP.

• Worked with the software development and testing team on a machine learning pipeline, aiming at helping restaurants' order management for the Aloha Kitchen Solution.
• Managed to gauge preparation time and delivery time based on time series forecasting and others.
• Constructed data streaming and visualization pipeline by applying Kafka, GCP, and Confluent Cloud.
• Performed data monitoring and analysis using Grafana.
• Incorporated a hybrid CF on the user's recommendation system of restaurants.

Had a severe burned injury on the back due to hot water. Fully recovered by now and have started re-entering the workforce.

• Collaborated with marketing department to develop and test a Wechat Mini application for a users DIY traveling recommendation build up.
• Managed and analyzed dataset on Tencent Cloud.
• Generated recommendation based on Item-Item CF and KNN.

• Participated in the backend engineering of an Android APP "Touring in Yunnan" based on JavaScript and Node.js.
• Collaborated with the QA team to perform QA and UX cycling engineering.
• Achieved 3.38 million downloads in the AppStore.