Building intelligent, scalable software.
I'm Steven Qian — a computer science student at the University of Virginia working across machine learning, cloud infrastructure, and full-stack engineering.
Computer science at the University of Virginia, focused on machine learning and cloud systems.
I work in Python, Java, TensorFlow, and AWS — building data pipelines, training models, and shipping applications end to end.
Recently I've developed data pipelines for Code for Charlottesville and built an AI-powered academic assistant that took first place at a university hackathon. Outside of coursework I'm usually exploring new developments in AI or contributing to open source.
Areas of expertise
Software Development
Building robust, efficient applications with modern languages and tooling.
Machine Learning
Designing and training models to solve real problems across domains.
Cloud Computing
Leveraging AWS, GCP, and Azure to ship scalable, secure systems.
Data Analysis
Turning raw data into insight that drives better decisions.
Featured projects
Data Pipeline for Charlottesville
ETL pipelines for city government and local non-profits, improving data accuracy and usability by 35%.
Canvas CoPilot
An AI-powered academic assistant that helps students manage and prioritize their coursework. Won 1st place at the University of Virginia Hackathon.
Let's work together.
I'm open to internships, collaborations, and interesting problems.
Get in touch