Zhiyu Huang
About Zhiyu Huang
Zhiyu Huang is a Software Engineer with experience in various roles, including internships and teaching assistant positions. He has a background in Computer Science from the University of Maryland and specializes in machine learning models and cloud data integration.
Work at Latch
Zhiyu Huang has been employed at Latch as a Software Engineer since 2022. In this role, he contributes to the development of software solutions that enhance the company's offerings in the smart access technology sector. His work involves collaborating with cross-functional teams to design, implement, and maintain software systems that support Latch's operational goals.
Previous Experience in Software Engineering
Prior to his current position at Latch, Zhiyu Huang worked at Hughes as a Software Engineer from 2020 to 2021 for one year. He also completed a Software Engineer Internship at Hughes in 2019 for two months. Additionally, he served as a Software Engineer at fusionSpan from 2021 to 2022 for eight months. His diverse experiences in these roles have contributed to his technical skills and understanding of software development processes.
Education and Expertise
Zhiyu Huang earned a Bachelor of Science in Computer Science from the University of Maryland, completing his studies from 2016 to 2020. His academic background provides a strong foundation in computer science principles. He possesses expertise in cloud data integration, which aligns with his interest in cloud infrastructure and supports his work in software engineering.
Teaching Experience
In 2018, Zhiyu Huang worked as a Computer Science Teaching Assistant at the University of Maryland for four months. In this role, he assisted faculty in delivering course content and supported students in understanding complex computer science concepts. This experience enhanced his communication skills and deepened his knowledge of the subject matter.
Interest in Machine Learning
Zhiyu Huang has a keen interest in machine learning models, indicating a potential area for future specialization or projects. This interest may influence his career trajectory and lead to involvement in innovative projects that leverage machine learning technologies.