Kexi Chen

Individual Project, Advanced Recipe Management

10/2023 - 11/2024

• Utilized Python, Django, and Docker to create an API that features user authentication, recipe CRUD operations, image uploading, and complex querying.
• Employed Test-Driven Development for reliable and robust code.
• Configured GitHub Actions for continuous integration.
• Managed a Postgres Database for efficient data handling.

Outcome: Successfully built a functional REST API that demonstrates my ability to construct complex Back-End systems, showcasing proficiency in modern development practices and tools.

11/2023 – 12/2023

• Gained in-depth understanding of the ChatGPT API and its implementation.
• Mastered React, enhancing Front-End development skills.
• Implemented efficient API request handling for real-time chat functionality.

Individual Projects, Supervised by Prof, Wang-Chien Lee, Database-backed Web Application to Buy/Sell Products on Campus, 

01/2022 – 05/2022

• Developed NittanyMarket, a secure online platform enabling students, faculty, and staff to exchange surplus goods within the campus community, promoting sustainability.
• Executed a comprehensive project lifecycle, including Requirement Analysis, Conceptual Database Design, Technology Survey, Logical Database Design, and Schema Normalization, employing technologies such as Flask Web Framework , Python , PyCharm , MySQL , and Pandas .
• Seamlessly integrated the Web Interface with a robust Database, facilitating secure user logins, password management, personal information access, product catalog exploration, and item listing for buyers and sellers.

Individual Project, Visualize Data with Amazon Quicksight

8/2023 – 9/2023

• Create Data Visualizations using Amazon S3 and Amazon Quicksight, working with a large dataset of best-selling amazon products.

Research Volunteer, Supervised by Prof. John M. Carroll, Center for Human-Computer Interaction, PSU

10/2021 – 12/2021

• Conceptualized and created interactive application aimed at enabling local researchers to input nearby water condition data and visualize general and local water pollution conditions, contributing to environmental sustainability efforts.
• Conducted comprehensive literature review in field of sustainable HCI, collaborating with professor and Ph.D. students to brainstorm innovative ideas and approaches for project's development.
• Frontend Design: Designed an intuitive and user-friendly interface using HTML, ensuring the application was both visually appealing and functional.