Software Engineer Intern

Benjamin Li

443-***-**** **********.****@*****.*** linkedin.com/in/benjaminliumd github.com/benli1003 Education

University of Maryland, College Park College Park, MD B.S. in Computer Science, Minor in Entrepreneurship and Corporate Innovation Expected 2026 Experience

Software Engineer Intern February 2026 – Present

Apollonian.Ai Washington, DC

• Led full-stack development of the profile page using React and Tailwind CSS for the frontend and FastAPI with PostgreSQL for the backend, enabling dynamic profile customization and secure data persistence.

• Designed and implemented RESTful API endpoints with FastAPI to handle user authentication, profile updates, and preference management, supporting real-time integration with the web platform.

• Collaborated in an agile development environment to ensure iterative delivery and team collaboration. Software Development Intern May 2024 – August 2024 HouseMate College Park, MD

• Developed an iOS application using Swift and SwiftUI to streamline household management with features including expense tracking, chore assignments, and an event coordination calendar.

• Designed and implemented the app’s back-end using Swift to efficiently track and manage household events, activities, and expenses.

• Utilized a Firebase database to enable real-time data synchronization and seamless user experience. Projects

Momentum Swift, Python(Django), MySQL

• Developed a full-stack productivity iOS app using Swift, Django REST API, and MySQL, enabling seamless cross-platform task synchronization.

• Implemented dynamic task filtering, sorting, and due date management with an interactive calendar UI.

• Designed secure API endpoints with JWT authentication and integrated into MySQL for persistent task storage.

• Managed consistent data flow from frontend interactions to backend updates, ensuring real-time UI feedback. TerpBites Python, JavaScript, React, MySQL, Flask, HTML/CSS

• Built a full-stack web platform using React and Flask to deliver live nutritional data from the University of Maryland’s food service website to over 50 active users.

• Designed and implemented dynamic web scraping pipelines to extract structured data from changing sources.

• Integrated Amazon RDS with a RESTful Flask API to support secure, real-time storage and retrieval of nutritional information.

Automated Stock Scalping Bot Python

• Developed a high-frequency trading bot that utilizes Alpaca API to execute rapid trades based on live market data and technical indicators.

• Implemented technical trading strategies (RSI, SMA) allowing for trade optimization to capture short-term price movements.

• Incorporated WebSockets, allowing two-way data streaming for instant market updates and trade executions with minimal latency.

Technical Skills

Languages: Java, Python, C, SQL, JavaScript, HTML/CSS, Swift, R Frameworks/Libraries: Angular, Django, Django REST Framework, FastAPI, Flask, Firebase, Node.js, React, SwiftUI, Tailwind CSS, JSON, REST API, pandas, MySQL, PostgreSQL, AWS Developer Tools: Git, Github, VSCode, Eclipse, Postman, Unix

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