Yao Huang
About Yao Huang
Yao Huang is a Data Engineer at Rocket Lawyer in San Francisco, California, with a Master's degree in Data Science from Georgetown University. He has a strong background in machine learning, natural language processing, and database management, and has worked in various roles in the field since 2017.
Work at Rocket Lawyer
Yao Huang has been employed as a Data Engineer at Rocket Lawyer since 2020. In this role, he has contributed to the development of data pipelines and application customization, enhancing the company's data management capabilities. His work is based in San Francisco, California, where he has been part of the team for four years.
Education and Expertise
Yao Huang holds a Master's degree in Data Science from Georgetown University, where he studied from 2018 to 2020. He also earned a Bachelor's degree in Industrial Engineering from Nanjing University, completing his studies from 2014 to 2018. Additionally, he participated in an exchange program at the University of California, Berkeley, achieving a 4.0 GPA during his time there in 2016.
Technical Skills and Tools
Yao Huang possesses a strong skill set in various programming languages and technologies, including TensorFlow, Keras, and PyTorch for machine learning applications. He is proficient in using Docker and CircleCI for continuous integration and deployment processes. His expertise extends to big data tools such as Hadoop, Hive, and Spark, as well as database management systems including SQL Server, NoSQL, MongoDB, and PostgreSQL.
Previous Experience
Before joining Rocket Lawyer, Yao Huang worked as a Data Engineer Intern at Knotch in 2019 for three months. He also served as a Teaching Assistant at Georgetown University from 2019 to 2020, where he supported academic activities for eight months. Earlier in 2017, he participated in the International Program of Innovation & Entrepreneurship at Nanyang Technological University in Singapore for two months.
Natural Language Processing and Machine Learning
Yao Huang has a strong foundation in natural language processing and machine learning. He leverages libraries such as spaCy and NLTK to enhance his projects. His academic background and practical experience have equipped him with the skills necessary to manage and analyze large datasets effectively.