Software Engineering Student @ University of Melbourne
Backend • AWS • Cloud Infrastructure • Full-Stack Systems • AI Pipelines / MLOps
I'm a software engineering student at the University of Melbourne with hands-on startup experience building backend systems, cloud infrastructure, and full-stack product workflows.
Most recently, I worked on TinyDOOR at DOOR Global, contributing across backend architecture, Django services, AWS infrastructure, API integration, and end-to-end product delivery for an AI-enabled storytelling platform.
I'm especially interested in building systems that sit at the intersection of:
- Backend engineering
- Cloud-native application workflows
- AI product pipelines
- Full-stack delivery
- Production-oriented MLOps / AI systems
- Building stronger foundations in backend + cloud architecture
- Moving from full-stack product work toward AI pipelines / MLOps
- Turning private startup experience into public engineering portfolio demos
- Creating production-minded systems instead of just prototype projects
Python TypeScript JavaScript SQL Java C C++
Django React Node.js REST APIs Git GitHub Docker PostgreSQL
AWS S3 Lambda Elastic Beanstalk RDS Cognito Amplify CloudFront
PyTorch TensorFlow Keras NumPy Pandas SpaCy
A public architecture-focused portfolio repo based on my work on TinyDOOR — an AI-enabled storytelling platform.
Focus: backend workflows, cloud infrastructure, request lifecycle design, and async AI product orchestration.
A minimal public backend demo that simulates a common AI product pattern:
create request → async processing → status polling → result delivery.
A cloud pattern demo showing how to support secure direct client uploads using AWS S3 presigned URLs, similar to real media-heavy product workflows.
A technical project focused on gesture recognition, real-time interaction systems, and smart-home control in mixed reality using Unity and Meta XR tools.
A systems project combining embedded development, secure device communication, and team coordination in a large-scale engineering capstone.
I'm most excited by roles and projects involving:
- Backend Engineering
- Cloud Infrastructure
- Full-Stack Product Systems
- AI Tooling / AI Product Engineering
- AI Pipelines / MLOps
- Production AI Workflows
Most production work I've contributed to is private, so this GitHub is intentionally focused on:
- Sanitized architecture case studies
- Public mini-demos of real engineering patterns
- Backend / cloud / async workflow examples
- Project writeups that reflect production thinking
I'm currently open to:
- Software Engineering Internships
- Backend / Full-Stack Internships
- Cloud / Platform Engineering Internships
- AI Systems / AI Product / MLOps-adjacent opportunities
📍 Based in Melbourne, Australia