Angi Shi

Enthusiastic fourth year Computer Science and Math student with a strong foundation in web development, including proficiency in HTML, CSS and JavaScript. Experienced in developing user-friendly websites and interactive features, as demonstrated through various academic projects and collaborations. Eager to apply theoretical knowledge and technical skills in a practical, real-world business environment. Known for excellent problem-solving abilities and a passion for pursuing innovative solutions in web development.

• Algorithms and Data Structure
• Object Oriented Programming
• Multi-threaded Programming
• TCP and UDP Protocols
• UI and UX Designs

Programming Languages:

• Java, Python, HTML, CSS, SQL

Frameworks:

• Django, Supabase, Node js, Spring, React

Software & Platforms:

• Visual Studio, Eclipse, GitHub

• Design and Analysis of Algorithms
• Principles of Operating Systems
• Intro to Software Engineering
• Design and Implementation of Database Systems
• Computer Networks
• Intro to Distributed Systems

Cinema Ordering System

Developer • 01/2023-04/2023

• Developed a Django-based web application for managing movie listings, ticket sales, and concessions at a movie theater, enhancing customer experience and operational efficiency.
• Integrated a responsive frontend with HTML, CSS, JavaScript, and Bootstrap for seamless cross-device interaction.

Spark Bid

Developer • 09/2023-12/2023

• Developed an advanced online auction platform using Supabase for backend services, optimizing database management, authentication, and real-time updates.
• Designed and implemented dynamic and responsive user interfaces with React.js, HTML, and CSS, integrated with Supabase Realtime for instant updates during auctions.

SnugStay Systems

Team Lead • 01/2024-04/2024

• Led a team in designing and implementing a distributed smart thermostat system for multi-unit dwellings, improving energy efficiency and user accessibility.
• Developed backend infrastructure using Java and Spring Boot, integrated Apache Kafka for real-time data processing, and ensured 99.9% uptime during deployment.
• Enhanced user experience with a frontend application providing real-time temperature adjustments and system monitoring.