Current
Humanly
Core Developer
Developing a configurable and traceable environment for human–AI collaborative writing, with a focus on backend systems, AI agent workflows, and developer tooling.
GitHubHaoqian (Frank) Zhang
Core Developer at Humanly Computer Science at the University of Toronto
I’m a Computer Science student at the University of Toronto and a Core Developer at Humanly, previously a Software Engineer at Scholars Portal. I’m interested in backend engineering, distributed systems, databases, and AI agents.
Professional Background
Current
Developing a configurable and traceable environment for human–AI collaborative writing, with a focus on backend systems, AI agent workflows, and developer tooling.
GitHubSeptember 2026–April 2027
Contributing production fixes to Apache Superset, with work spanning data export behavior and frontend state consistency.
GitHubPreviously
Contributed to production systems and practical web applications in an academic library environment.
Selected Work
Networking
A lightweight tool for measuring and comparing throughput across devices on a local network.
Web Application
A campus rental platform that helps students reserve and borrow items from shared lockers.
Human–AI Collaboration
A configurable and traceable environment for collaborative writing with in-platform AI assistance.
Research
Work on trustworthy, traceable, and practical human–AI collaboration.
Humanly is a configurable writing environment that records human and AI activity, enabling traceable collaboration and sealed writing certificates.
View on arXivEngineering
Apache Superset
University of Toronto
CSCB58
CSC343
Contact
Have a question about my work, research, or projects? Send me a note and I’ll get back to you.
haoqian[dot]zhang[at]mail.utoronto.ca