ZHONGQUANCHENG
Master's student pushing the boundaries of full-stack engineering, machine learning, and human-centered product design.
From backend optimization at Undergraduation.com to emotion-aware sensor research at Syracuse, I blend rigorous engineering with a creative eye for interaction.
AI Research
AI for Health Institute
Graduate Researcher
Full Stack
React · Node · SQL
Vision Research
Sensors · ML
Bio
I am a Master's student in Computer Science at Washington University in St. Louis, focusing on software engineering and data systems. With a background in backend development, data science, and mobile applications, I am passionate about building scalable, efficient systems and applying AI/ML to solve real-world problems.
Location
St. Louis, MO
chengzhongquan0630@gmail.com
Experience
My professional journey and research contributions in the field of Computer Science.
Backend Intern
2025-09 — Present- Optimized database query performance by 45% through index optimization and query refactoring, reducing average response time from 2.3s to 1.2s
- Implemented RESTful API endpoints using Node.js and Express, enabling seamless integration between frontend and database
- Refactored legacy server code for improved scalability, applying OOP principles and microservices architecture
- Enhanced backend monitoring and logging systems, implementing automated alerts for system performance
Data Science Intern
2023-05 — 2023-06- Demonstrated rapid learning by mastering company data infrastructure within first week
- Applied OOP principles to implement scalable ML models (XGBoost, Random Forest) achieving 92% accuracy in sales forecasting
- Enhanced data warehouse functionality through engineering best practices, improving extraction efficiency by 40%
- Collaborated across international teams to deliver projects within tight deadlines
SELECTED WORKS
Engineering Course Scheduler
Full-Stack Web Application built with React and Node.js. Implemented optimization algorithms for conflict-free schedule generation with prerequisite validation. Integrated university course catalog API and deployed on AWS.
ATS Application Tracker System
Full-Stack Application with AI Integration using React, Node.js, and PostgreSQL with Gmail API integration. Won 2nd place at Syracuse Tech Challenge 2024 for AI-powered mental health screening tool components.
Depression Detection App
Android application for IMU sensor data collection and real-time processing. Used for research in detecting depression through mobile sensor data.
Technical Arsenal
A comprehensive list of technologies and tools I've worked with throughout my academic and professional career.