About

Amy Wang is a highly skilled Machine Learning Engineer with over 7 years of relevant experience in the field. She is currently working at Kong Inc. as a Machine Learning Engineer, where she is responsible for creating innovative machine learning products that deliver positive impacts on student outcomes. Prior to her current role, Amy worked at Strongmind as a Machine Learning Engineer, where she helped build software that provided high-quality education to students worldwide. Her work on the Data Science team focused on creating machine learning products that improved student outcomes. Amy's experience also includes working as a Data Scientist at Vreasy, where she built and fine-tuned a production LSTM neural network model that achieved 100% F1 score for predictions up to a week in advance for the company's first price optimization offering. She also prototyped an unsupervised house classifier using elbow method and KMeans, and LDA in Python to provide Analytics with a metric to better segment for tracking market trends and performance. Additionally, she productionalized models using Docker and AWS, focusing on reliable deployments and durable model performance while continually delivering predictions to Vreasy web products. Amy's education includes a Master's Degree in Computer Science from Tsinghua University and a Bachelor's Degree in Neuroscience and Political Science from The Johns Hopkins University. She also attended Hamilton High School. Amy's technical skills include expertise in ML, Data Science, AWS, AI, Python, Docker, Neural Networks, and Web. She is also experienced in product management and research science. With her extensive experience and technical expertise, Amy is a valuable asset to any team looking to develop innovative machine learning products.