I'm Joseph
I'm an undergraduate studying Computer Science at the Georgia Institute of Technology.
Hello! I'm Joseph Liu, a third year undergraduate student at Georgia Tech with concentrations in Systems/Architecture and Artificial Intelligence. I'm passionate and interested in computer systems, distributed & high performance computing, and machine learning.
Through my coursework and projects I've gained lots of experience with different techniques and technologies. Through my systems coursework I've learned about OS design, virtualization, and many aspects of distributed system design such as synchronization, distributed memory and storage, and algorithms like MapReduce which can be used to parallelize queries to different services. I've learned a lot about AI as well, including machine learning, computer vision, robotics, and technologies like Jupyter, NumPy, and PyTorch. Through projects, I've also gained experience with web and app technologies like Node.js, React.js, React Native, Svelte, and more.
In the summer of 2023, I interned as a software engineer at GEICO, where worked with the Service Enablement team. During my time there, I learned more about how companies take advantage of cloud computing and some basics with technologies like Kubernetes, Microsoft Azure, and .NET Web Services. I audited the company's service portfolio and began work on building a new service portfolio which would make it easier to keep service metadata accurate and up-to-date and have better integrations with ITSM and other services.
Beyond computer science and software development, I have experience with media technologies and creative applications. Previously, I served as the VP of Media at Lynbrook Robotics, where I learned creative tools such as Adobe Photoshop, Premiere Pro, and other Creative Cloud tools. In my free time I also do photography, illustration, and graphic design.
Experience
Projects
Education
Skills
Computing Languages
Technologies
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Dev Tools
Creative
Relevant Coursework
Computer Systems and Architecture
Artificial Intelligence
Computing Theory and Foundations
Additional Relevant Coursework