About

KE SANG is a Senior Machine Learning Engineer at SmartNews, Inc. with over 5 years of relevant experience in the field. He is responsible for working on news ranking/recommendation and news push, analyzing data to get insight using Presto, SQL, Redash, and Tableau, building Deep Learning and NLP models using TensorFlow, Keras and Sklearn. KE SANG is well-versed in building machine learning offline and online pipelines and is familiar with technologies such as Spark, Scala, Java, Hive, AWS, Docker, K8s, Python, Tensorflow, TFserving, and Airflow. KE SANG has worked with a variety of models, including DNN, CNN, LSTM, Two-Tower, LSTUR, Multitask learning models, Knowledge Graph, BERT, Transformers, etc. Some of his main projects have brought great impact for Smartnews on KPIs of DAU, revenue, etc. He has also worked with Indeed as a Full-stack Data Scientist/Machine Learning Engineer, where his daily routine included analyzing raw data to get trends and insight, model prototyping for a variety of different problems, writing production code in Java/Python to implement feature engineering and model prediction, and mentoring junior data scientists. He has also worked with Strap as a Data Scientist, focusing on IoT data from various wearable devices, using Python to process raw data, mining data to get patterns and valuable insights for clients, and designing machine learning algorithms and building data science pipeline products, etc. KE SANG holds a Doctor of Philosophy (Ph.D.) degree in Cognitive Science from Indiana University Bloomington, a Master's degree in Experimental Psychology from East China Normal University, and a Bachelor's degree in Clinical Medicine from Fudan University. He is proficient in various tech stacks such as ML, Data Scientist, TensorFlow, SQL, AWS, BERT, Research Scientist, Keras, CNN, Deep Learning, NLP, Spark, Apache Airflow, Scikit, Python, Java, Docker, and Apache Hive.