Ruoshi Zhu

About Me

Education & Background

USC Logo

University of Southern California

Master in Computer Science (2025 - Present)

GPA: 3.90/4.00

Shanghai University Logo

Shanghai University

Bachelor in Computer Science and Technology (2020 - 2024)

GPA: 3.55/4.00

Research Experience

Quantum Algorithm for Bitcoin Mining

Led research team exploring quantum technologies' impact on Bitcoin mining

AI for COVID-19 Diagnosis

Developed CT scan analysis model using StyleGAN3 and Swin-UNET

CBA Game Prediction

Built STGCN framework for predicting basketball game outcomes

Industry Experience

SK

Shanghai Shoukou Technology Ltd.

Algorithm Engineer Intern

Aug 2023 – Dec 2023

NLPAIOCRAlgorithm

KeYan Reader - AI-Powered Article Reading Platform

Led algorithm design and optimization for the company's flagship product, enabling AI-powered article reading, summarization, and interactive Q&A capabilities.

  • • Spearheaded implementation of core NLP and summarization algorithms
  • • Improved accuracy and response time for end users
  • • Enhanced user experience through intelligent content processing

Cross-Team Collaboration & Technical Support

Collaborated across multiple teams to ensure successful deployment, server operations, product testing, and after-sales technical support.

  • • Managed deployment and server operations
  • • Conducted comprehensive product testing
  • • Provided after-sales technical support
  • • Coordinated with development, operations, and customer success teams

SoMark - Document Digital Transformation Tool

Contributed to early-stage development of SoMark, a tool that uses OCR technology to convert PDFs and images into Markdown/JSON format, supporting clients in large-scale digital transformation of physical documents.

SoMark Tool InterfaceSoMark Tool Demo
  • • Developed OCR-based document processing algorithms
  • • Implemented PDF to Markdown/JSON conversion pipeline
  • • Supported large-scale document digitization projects

Research & Publications

📊

Research on Lung Diagnosis Methods based on Data Augmentation

Published in the Proceedings of the 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2023). This research proposes an innovative methodology for diagnosing lung cancer through sophisticated data augmentation approaches, utilizing Swin-Unet model architecture and StyleGAN3 for enhanced dataset expansion.

Machine LearningComputer VisionMedical AIStyleGAN3
View PaperDOI: 10.2991/978-94-6463-300-9_55

Featured Projects

GravityRunner Gameplay
GR

GravityRunner

A 2D top-down action-puzzle game where players use gravity-based abilities to move, fight, and solve challenges. Features innovative gravity mechanics with three unlockable abilities and a final boss battle.

Game DevelopmentUnityC#
OwlSplitter Interface
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OwlSplitter

Intelligent expense tracking and splitting application that calculates optimal transfer paths for group expenses with minimal transactions and smart algorithms.

Mobile AppFlutterDart
Traveller App Interface
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Traveler

Beautiful travel planning and memory recording application with intuitive interface for trip organization and nostalgic journey documentation with stunning visuals.

Mobile AppSwiftiOS

Skills & Technologies

💻

Programming

C, C++, Python, JavaScript, TypeScript, Java

🌐

Web Development

HTML, CSS, React, Next.js, Node.js, MySQL

🤖

AI & ML

TensorFlow, PyTorch, Computer Vision, Deep Learning

🎨

Design Tools

Photoshop, Illustrator, Premiere, DaVinci Resolve

Let's Connect

Contact Information

📱+1 (213) 999-5201
📍Los Angeles, CA