Kuang Sheng
About Kuang Sheng
Kuang Sheng is a Software Engineer at Arista Networks with a background in chemical engineering and experience in big data, machine learning, and web development.
Title
Kuang Sheng is currently a Software Engineer at Arista Networks. His role involves working on software projects from their office in Santa Clara, California, United States, where he has been working since 2021.
Previous Positions
Kuang Sheng has held various engineering positions throughout his career. He worked as a QA Engineer Intern at Awake Security in Santa Clara, California, United States, in 2020 for 3 months. He also served as an Engineer at ArtGeekTech LLC from 2018 to 2020 in San Jose, CA. Earlier in his career, he was an Environmental Engineer Intern at Hunan Star Textile Company in 2017 for 1 month. Additionally, he has held multiple positions at the University of California, Riverside and the University of California, Davis, including roles as Research Assistant, Senior Design Group Member, and Intermediate Algebra Workshop Lab Leader.
Education and Expertise
Kuang Sheng has a comprehensive educational background in engineering. He earned a Master's degree in Computer Software Engineering from San Jose State University between 2019 and 2021. Prior to this, he completed a Master of Science (M.S.) in Chemical Engineering at the University of California, Davis from 2016 to 2018. His undergraduate studies were also in Chemical Engineering, and he achieved a Bachelor of Science (B.S.) degree from the University of California, Riverside between 2012 and 2016.
Skills and Technical Proficiency
Kuang Sheng possesses extensive skills in both backend and frontend development, with a particular focus on big data and machine learning. He is proficient in using data analysis libraries such as Pandas, SciPy, and NumPy. His web development expertise includes utilizing Flask and HTML. He is skilled in implementing microservices architecture and RESTful APIs. Additionally, he uses RabbitMQ for message brokering and is familiar with data visualization and analysis tools like Matplotlib and Rstudio. He also has experience with web scraping using BeautifulSoup and Requests libraries and employs machine learning techniques using Sklearn.