Cornelia Zhang

University of Pennsylvania · MCIT + MSE in Artificial Intelligence

I build production software from idea to users.

I’m a graduate student studying computer science and AI—and I build full-stack and applied-AI products used by real people.

2Live products
38K+MilkyAi community
250KLifetime requests

Selected work

Two products I built—and continue to run.

01Production full-stack platform

LeetIn

Creator & full-stack developer · May 2026–present

A coding-practice platform that transforms reference solutions and users’ LeetCode submissions into fill-in-the-blank active-recall exercises.

Visit leetin.me
3
programming languages
3
difficulty levels
Full-stack
product ownership
Production
automated deployment
  • Built custom transformation algorithms for Python, Java, and C++, plus a context-aware LLM explanation workflow with quotas and cost controls.
  • Designed PostgreSQL and Prisma persistence for identity, secure sessions, practice progress, AI usage, and concurrency-safe shared caching.
  • Developed responsive React interfaces, bilingual i18n, automated tests, health checks, migrations, and Railway release workflows.
  • TypeScript
  • React
  • Next.js
  • Node.js
  • PostgreSQL
  • Prisma
  • Tailwind CSS
02Production AI system

MilkyAi

Creator, developer & maintainer · Feb 2026–present

An AI video-to-notes email service for Bilibili, turning videos into summaries, Markdown notes, and Q&A delivered across comments, direct messages, and email.

View MilkyAi
38K+
followers & users
~300
daily active users
250K
lifetime requests
Break-even
operating status
  • Designed resilient video pipelines across STT services, multiple LLM providers, PostgreSQL, and AWS SES, with provider failover, retries, and recovery.
  • Built a multi-turn RAG support system with semantic retrieval, persistent context, tool orchestration, guardrails, and a 41-scenario evaluation harness.
  • Engineered an asynchronous Python worker pool, artifact reuse, structured logging, and request tracing for concurrent, cost-aware production operation.
  • Python
  • PostgreSQL
  • RAG
  • LLMs
  • AWS
  • Docker

About

Studying software systems and AI. Building both for real.

I’m Cornelia, pursuing the Master of Computer and Information Technology and a dual Master of Science in Engineering in Artificial Intelligence at the University of Pennsylvania. Alongside my coursework, I design, build, deploy, and maintain production products—from interfaces and backend systems to applied-AI workflows.

I’m seeking internship and entry-level opportunities across software engineering, full-stack development, and applied AI engineering.

  • Applied AI systems
  • Backend & data
  • Full-stack product
  • Production operations

Contact

Let’s build something useful.

For opportunities, collaborations, or a conversation about the work.

Email GitHub LinkedIn