Summary
Education
Skills
Experience
Timeline
Generic

Allen Qian

Melbourne,VIC

Summary

Master’s degree candidate in Information Technology with a specialization in Artificial Intelligence from the University of Melbourne. Achieved high distinctions in Java programming, databases, e-business technologies, and data science, with strong expertise in NLP and computational algorithms. Committed to integrating AI research with practical engineering to create innovative user experiences and effective technical solutions.

Education

Master of Information Technology - Artificial Intelligence

Melbourne University
Parkville, VIC
06-2025

Bachelor of Computer Science - Data Science

Monash University
Clayton, VIC
12-2024

Skills

  • Natural language processing
  • iOS mobile development
  • Web front-end development
  • Back-end development and databases
  • Algorithms and data structures
  • Data visualization
  • Collaboration and communication
  • Self-direction and initiative
  • Organization and time management
  • Problem-solving and adaptability

Experience

iOS developer (personal project)

Recipe app| Swift, SwiftUI, Core Data, REST APIs, Combine, GitHub Actions

Semester 2, 2024

  • Problem solved: empowered university students to cook at home, save on food costs, and reduce waste through meal planning and shopping lists
  • Designed and shipped a full-stack iOS recipe app, tackling offline data caching with Core Data and Combine to ensure a smooth UX even without connectivity
  • Integrated 500+ recipes via a public REST API, handling JSON pagination and asynchronous image loading with URLSession and Combine
  • Developed an interactive 'shopping trolley' feature using Core Data, allowing users to save ingredients, generate consolidated grocery lists, and avoid food waste
  • Visualized nutritional information with dynamic SwiftUI charts and embedded tutorial videos via external API links
  • Automated builds and tests via GitHub Actions, documented all endpoints and workflows in Postman, and a comprehensive README

Frontend engineer

Online university candidate voting platform| React, D3.js, Node.js, Express, MongoDB, GitHub Actions

Semester 2, 2024

  • Context & audience: Developed for a university student council election to replace the traditional paper-based voting system, eliminating inefficiencies, inaccuracies, and time-consuming manual processes
  • Collaborated in an Agile team of five, participating in daily stand-ups, sprint planning, and fortnightly demos to stakeholders
  • Architected React components for ballot creation, voter registration, and real-time D3.js dashboards—optimized state management with Redux and React Hooks
  • Engineered secure RESTful APIs in Node.js/Express with OAuth2 authentication and MongoDB indexing to support fast query performance
  • Streamlined development workflows using GitHub Actions for CI/CD, feature branches, and mandatory two-reviewer pull requests

Timeline

Master of Information Technology - Artificial Intelligence

Melbourne University

Bachelor of Computer Science - Data Science

Monash University
Allen Qian