Jingjie Zhu
About Jingjie Zhu
Jingjie Zhu is a Software Engineer with expertise in multiple programming languages, microservices architecture, and machine learning frameworks. He has over six years of experience in cloud computing and big data technologies, having worked for notable companies such as Cyber Crucible, Inc., Petuum, Huawei Technology, and ZTE Corporation.
Work at Petuum
Jingjie Zhu has been employed at Petuum as a Software Engineer since 2022. The position is based in Pittsburgh, Pennsylvania, where he contributes to various software development projects. His role involves utilizing his programming skills and experience in microservices architecture to enhance the company's technological capabilities.
Previous Experience at Cyber Crucible, Inc.
Before joining Petuum, Jingjie Zhu worked at Cyber Crucible, Inc. as a Senior Software Engineer for a duration of six months in the Greater Pittsburgh Area. His responsibilities included software development and system design, leveraging his programming expertise to support the company's projects.
Background in Telecommunications Engineering
Jingjie Zhu holds a Bachelor's degree in Telecommunications Engineering with Management from Beijing University of Posts and Telecommunications, where he studied from 2010 to 2014. He also earned a Bachelor of Engineering in Telecommunications Engineering with Management from Queen Mary University of London during the same period. Additionally, he completed a Master of Science in Information Science at the University of Pittsburgh from 2019 to 2021.
Experience in Software Engineering
Jingjie Zhu has over six years of experience in software engineering, having worked at Huawei Technology as a Software Engineer from 2015 to 2017 in Xi'an, Shaanxi, China. He also completed an internship at ZTE Corporation in 2013, where he gained practical experience in the field. His expertise encompasses various programming languages, machine learning frameworks, and cloud computing technologies.
Technical Skills and Expertise
Jingjie Zhu is proficient in multiple programming languages, including Java and Python. He possesses advanced skills in machine learning frameworks such as PyTorch and TensorFlow. His technical expertise extends to traditional databases like MongoDB and Cassandra, as well as modern data streaming platforms like Kafka. He has significant experience in cloud computing and big data technologies.