Product Engineering
React, Next.js, Angular, Ionic, React Native, and testing practices shaped around maintainable user-facing delivery.
I design and deliver scalable full-stack systems across enterprise platforms, mobile apps, APIs, and AWS infrastructure, with a growing focus on practical AI workflows that improve how teams and users get work done.

Current focus
Enterprise learning platforms, event-driven services, AWS infrastructure, and practical AI workflows.
React, Next.js, Angular, Ionic, React Native, and testing practices shaped around maintainable user-facing delivery.
Node.js, TypeScript, ASP.NET Core, PHP APIs, AWS Lambda, ECS Fargate, API Gateway, S3, CloudFront, and DynamoDB.
Microservices, event-driven systems, DDD, caching strategies, API design, CI/CD, and platform reliability work.
OpenAI, Claude, Bedrock, LangChain, RAG, function calling, MCP, and AI-assisted delivery patterns.
Experience
The new portfolio leads with Zhenyuan (Vincent) Li’s professional work at The University of Queensland and Simpro, then keeps selected independent projects where they show useful engineering range.
The University of Queensland
Sep 2025 - Present
Designing and maintaining enterprise learning platform integrations, event-driven services, and AWS-hosted microservices that support university teaching and learning systems.
Simpro
Jun 2023 - Aug 2025
Built cross-platform mobile features and production APIs, improved reliability through tests and refactors, and delivered AI/ML-focused hackathon projects recognized across engineering.
Selected Work
Selected work from enterprise platforms, product delivery, developer tooling, and early team leadership.
Enterprise platform
Event-driven services, Blackboard integrations, containerized workloads, observability, and CI/CD quality work for large-scale university digital platforms.
Product engineering
Technician-facing mobile workflows, API synchronization, legacy modernization, and proof-of-concept LLM/RAG patterns for contextual task assistance.

Independent build
A JavaScript notebook-style playground with Monaco editing, markdown cells, esbuild bundling, IndexedDB caching, and npm package publishing.

Team leadership
Led a six-person agile team building a cross-platform meal planning app with nutrition reports and offline TensorFlow Lite recognition.
Contact
Send a message through the form or use the direct links below. The form is wired to email delivery once the production environment variables are configured.