I'm Hung-Ta Chen.

At UC Davis, I focused on the Data Science track within the Statistics program, developing expertise in machine learning, statistical methods, and data analysis. Projects and coursework involved advanced statistical models, machine learning algorithms, and hands-on data science applications, preparing me for complex problem-solving in tech industries.

During my undergraduate studies, I immersed myself in the fundamentals of computer engineering with a strong emphasis on software development and Deep Learning. I engaged in various projects that applied programming skills and object-oriented concepts to build software and hardware solutions, furthering my passion for technology and innovation.

During my internship at Ra Labs, I assumed the role of principal architect for an advanced multi-agent system powered by MetaGPT and the OpenAI API, aimed at revolutionizing AI-driven analytics. I successfully integrated a retrieval-augmented generation (RAG) system using LlamaIndex, specifically tailored to empower a code generator agent with the capability to efficiently index and retrieve relevant code snippets. This significantly improved the accuracy and relevance of the generated code. Additionally, my work involved refining user interfaces with React and TypeScript, as well as developing on the Flask server.

At LiTai Technology, I engineered solutions that bridged hardware with software for sophisticated payment systems, focusing on enhancing security and processing speeds. My efforts were pivotal in developing software that streamlined and secured transaction processing, utilizing C# and .NET frameworks.

During my experience as a undergrad research assistant, I contributed to significant advancements in virtual garment technology using deep learning techniques. My role involved developing models that greatly improved the accuracy of garment overlays in virtual environments. This project required sophisticated image processing and machine learning techniques, enhancing the outcomes and practical applications of AI in fashion technology.