Qiaowen Mei

About Me

Hello! I am Qiaowen Mei, a student majoring in Computer Science.

I want to contribute my passion for developing innovative programs that expedite the efficiency and effectiveness of your company's success.

My educational background is in Quantitative Finance and Economics, and Computer Science.

I have experience in solving complex problems and hope to create user-friendly applications.

Projects

E-commerce Website for Cat Products

Designed, developed, and deployed a dynamic, user-friendly, and readable full stack e-commerce platform for cat products.

Technologies Used: React.js, React Router, CSS, Bootstrap, Firebase

Features: User authentication, responsive design, secure shopping and payment system.

GitHub Repository E-commerce Website Screenshot

Housing Prices Prediction

Conducted a machine learning model in Python of the Boston housing price dataset, examining various features to achieve accurate price estimates.

Technologies Used: Python, scikit-learn

Features: Implemented regression algorithms including Linear Regression, Decision Tree.

GitHub Repository

Speech Contest Management System

Developed a C++ application to manage a speech contest, handling over 100 speaker entries with key features like speaker management.

Technologies Used: C++, STL, File I/O

Features: Data integrity and persistence through effective file handling and record management.

GitHub Repository

Video Subtitle Translation

An AI-based software that removes hardcoded subtitles from videos, with automated subtitle translation features.

Technologies Used: Python, OpenGL, ComfyUI

Features: Uses advanced algorithms for subtitle removal and integration with ComfyUI.

GitHub Repository

Work Experience

Algorithm Engineer at SuperADS

Duration: June 2024 - Aug 2-024

Key Responsibilities:

Developed and optimized video translation algorithms, integrating AI-powered subtitle translations to enhance user experience.
Designed and implemented an advanced rendering engine using OpenGL to improve real-time video processing capabilities.
Collaborated with cross-functional teams to streamline media workflows, achieving a 30% increase in processing efficiency.
Improved subtitle removal and translation efficiency by integrating video processing with ComfyUI, reducing manual intervention.

Achievements: Received the team's priority prize and positive feedback for refining algorithmic solutions, resulting in better media processing performance and usability.

Welcome to my portfolio!

About Me

Projects

E-commerce Website for Cat Products

Housing Prices Prediction

Speech Contest Management System

Video Subtitle Translation

Work Experience

Algorithm Engineer at SuperADS

Skills

Fun Facts

Contact