Tingyu Li

Dynamic professional with a strong work ethic and a proven ability to adapt to new challenges. Exceptional interpersonal skills enhance collaboration and productivity in team environments. Demonstrated aptitude for quickly mastering new skills, contributing to efficient project execution and goal achievement.

• Languages: Java, Python, C#, JavaScript, Swift
• Operating Systems: Windows, Mac OS, Linux
• Software: Unity, VSCode, XCode

Data Management System (with SQLite and MySQL using R)

• Developed a local SQLite database to store and manage restaurant sales, inventory, and customer data efficiently.
• Created and implemented a star schema in MySQL to optimize data organization, facilitating easier querying and analysis.
• Utilized R for exploratory data analysis (EDA), identifying sales trends, customer preferences, and key performance metrics.
• Connected R to SQLite and MySQL databases for seamless data extraction, transformation, and visualization.
• Generated comprehensive data reports and visualizations to provide insights for business decision-making.

SipSpotter (Full Stack App with React Native, Node.js, Yelp API)

• Developed a café discovery mobile app integrating Yelp API, implementing real-time geolocation features and interactive map visualization using React Native
• Engineered responsive frontend components including custom filtering system, photo gallery management, and location-based café discovery with optimized local storage
• Built RESTful API endpoints for user authentication, data caching, and bookmark system while conducting iterative UI/UX improvements based on user testing feedback

LLM Language Learning Agent (with Apple Vision Pro)

• Led a cross-functional team in developing an innovative mixed-reality language learning system integrating real-time object recognition with LLM-powered conversational AI.
• Architected and implemented real-time object tracking system using Apple Vision Pro's ARKit and CoreML, enabling dynamic recognition and tracking of everyday objects for contextual language learning
• Designed and optimized LLM prompting strategies for GPT-4 to generate contextually relevant language instruction based on recognized objects and environmental scenes, enhancing learning personalization

Tamagotchi Game (with Java)

• Designed and continually refined a Tamagotchi game in Java, utilizing the strategy pattern within an object-oriented framework for a modular and extensible architecture.
• Implemented multiple classes to manage diverse aspects, including pet behavior, user interactions, and graphical elements, effectively applying the strategy pattern to enhance flexibility and maintainability.
• Developed a robust unit testing suite to validate the functionality and reliability of the game components, ensuring a seamless user experience.
• Iteratively enhanced the game design to optimize performance and user engagement, incorporating features such as dynamic pet animations and interactive interfaces while leveraging the strategy pattern for effective code organization and flexibility.

Runaway Zoo Shooting Game(with Unity)

• Developed an immersive third-person shooting game featuring a unique storyline about a chicken attempting to escape a zoo, blending action, collection, and narrative-driven elements.
• Designed complex game mechanics, including stealth, guard chase sequences, and timed combat challenges to enhance player engagement and dynamic gameplay experiences.
• Implemented a quest and level system, including multi-stage objectives, time-based challenges, and progression-based storytelling.
• Created and integrated character behaviors, such as guards' patrols, key collection, and weapon pickups, to provide interactive and evolving gameplay.
• Utilized Unity and Cinemachine to create smooth transitions, dynamic camera settings, and visually engaging scenes.

• International Student Scholarship 08/2016-05/2020