I'm Jimmy (Jinrui) Li — a full-stack engineer based in Perth, working at the intersection of AI applications, backend systems, and product delivery.
four years of backend engineering (Go / gRPC / Kubernetes at ByteDance and ZaoAn, scaled to 500k DAU) gave me the discipline of distributed systems. The last two years — through my Master of IT at UWA and solo full-stack projects
I've moved that discipline into shipping LLM-powered products end-to-end: from OpenAI / Claude integration to streaming UIs to evals.
- ⚔️ Edge: backend rigour (microservices, observability, FinOps) + modern AI-app craft (GPT-4o, RAG, streaming, agentic workflows).
- 🎯 Now: building AI assessment & reporting platforms, an AI-driven mindfulness app, and a community cultural archive — all solo or small-team, all in production.
Stack:
OpenAI GPT-4o·Claude·Nova AI·Prompt Engineering·Agent Prototyping
Integrating LLMs into real product flows: personalised reflection generation, narrative synthesis, contextualised insights, automated reporting. Streaming responses (SSE), prompt caching, and cost-aware design are non-negotiable.
Stack:
React·TypeScript·Node.js·Express·Tailwind·shadcn/ui·Framer Motion
Solo-shipping production web apps end-to-end — auth, onboarding, interactive data flows, animations, accessibility (WCAG). Recent work: Soulstice Mind, WestPride Cultural Archive, AI Leadership Intelligence Platform.
Stack:
Go·Python·gRPC·PostgreSQL·Neon Serverless·Drizzle ORM·Recharts
Built and scaled backend services at ByteDance (multi-tenant SaaS, billing & metering, user behaviour warehouse) and Zao'an (HuaYin IM system, 500k DAU). Latency, reliability, and observability are muscle memory.
Stack:
Docker·Kubernetes·AWS·Azure·GCP·GitHub Actions·Prometheus·Grafana·Jaeger
Cloud-native deployments across the big three. Set up the Prometheus / Grafana / Jaeger stack that cut P95 latency to 500ms. CI/CD via GitHub Actions, with FinOps awareness from B2B SaaS work.
Stack:
Eval-Driven Iteration·Zapier·Make·Lightweight Dashboards
I treat LLM features as probabilistic programs — test against a golden set, watch traces, iterate. No-code tooling (Zapier / Make) used when speed > custom code.
I don't chase "demo magic". I build for the boring path: streaming UX, prompt caching for cost, fallback on model failure, traces for every call. If non-technical stakeholders can't use it tomorrow without me, it's not shipped.
Six years of microservices taught me: observability before features. Every LLM call is a network call to a flaky third party — I instrument it the same way I'd instrument a payments API at ByteDance.
Most of my recent projects (Soulstice Mind, WestPride, AI Leadership Platform) are solo or near-solo builds. That forces brutal prioritisation: which feature actually moves the user forward, which is just craft satisfaction.
| Project | Role | Stack |
|---|---|---|
| AI Leadership Intelligence Platform | AI / Automation Developer | OpenAI · Dashboards · Reporting |
| Soulstice Mind | Solo Full-Stack | React · TS · Node · Postgres · GPT-4o · Nova AI |
| WestPride Cultural Archive | Full-Stack Maintainer | End-to-end web · WCAG · Search |
| WA Health Hackathon 2025 | Team contributor | AI-assisted fracture detection prototype |
| EcoPulse Hackathon 2025 🏆 Runner-Up | Team contributor | Microgrid monitoring dashboard |
