Yuelin Liu · Melbourne · Full-Stack Developer · AI & LLM Applications

I build reliable full-stack software, with a focus on AI/LLM applications and developer tools.

I work across product UI, APIs, authentication, data workflows and model-integrated features—turning messy requirements into reliable software.

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Selected Work

Job Search Dispatch product screenshot
Running application · synthetic demo data

Job Search Dispatch

Turns a captured job ad into an evidence-grounded application draft, with human review before submission.

Built and iterated as a personal project · 2026 · Private source repository

Connects an open-tab browser bridge, scoped evidence, multi-model drafting and failure recovery in one local workflow.

Stack · React · Node.js · Chrome Extension · LLM APIs

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DSH Conversation Exporter product screenshot

DSH Conversation Exporter

Exports full DeepSeek Harness conversations or selected whole turns as clean Markdown for reading, Git and cross-assistant handoff.

Built and packaged as a DSH Web plugin · 2026

Preserves Markdown and Unicode, keeps selective turn handling bounded, and excludes reasoning, tool activity and runtime metadata from exports.

Stack · JavaScript · Node.js · DSH plugin APIs · Markdown

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MoneyGuard product screenshot

MoneyGuard

Turns a timecard photo into a weekly wage, spending and surplus audit.

Designed and built the end-to-end pipeline · 2026

Keeps ledger calculations local, validates model-generated OCR with Zod, and streams audit prose through separate providers.

Stack · TypeScript · Node.js · Gemini LLM · DeepSeek LLM

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More Engineering Work

  • AI HarnessCurrent work

    GitHub-native AI-assisted engineering workflow built around NEXT → IMPLEMENT → ACCEPT → SHIP, exact PR-head SHA acceptance, deterministic verification and explicit human approval.

  • Melbourne University Ultimate Club Platform

    Revisited a Next.js/MongoDB application to centralise server-side authorisation and turn authentication and write-path defects into regression tests and CI.

  • Client Data Delivery Validator

    Python/pandas validation workflow for synthetic client-delivery CSV data with structured validation results and 12 pytest regression cases.

Experience

Hands-on development across prospective-client prototypes and an early-stage AI SaaS codebase, focused on working implementations, API integration and diagnosing inherited workflows.

Independent Developer

Prospective Client Demos for a Melbourne Consultancy

Sep 2025 - Present

Melbourne, Australia

  • Build demonstration applications for prospective clients, including a specialty coffee retailer and a drone training provider, translating informal briefs into working prototypes for business pitches.
  • Implement authenticated, database-backed prototypes with Next.js 15 App Router, Clerk OAuth and Convex as requirements become clearer.

Next.js 15 App Router · Clerk OAuth · Convex

Full-Stack Developer

ByteCroniX — Early-Stage AI SaaS

Mar 2025 - Jun 2025

Melbourne, Australia

  • Implemented OpenAI function-calling flows in a Node.js/Express codebase for AI-assisted product interactions.
  • Added timing instrumentation to an inherited points-summary path and identified current/proposed scoring services as the dominant latency contributors.
  • Profiled an inherited points-summary pipeline and parallelised independent service calls, reducing an observed local integration-test response from 26.7s to 5.6s.

Node.js · Express · OpenAI Function Calling · Docker/Postman Integration Testing

How I Build

I make the workflow concrete, measure what is actually happening, and turn fragile assumptions into explicit checks.

I start with the workflow, not the feature.

I turn an unclear problem into a concrete working flow before adding abstraction, polish or extra infrastructure.

  • Built prospective-client prototypes for a specialty coffee retailer and a drone training provider from informal business briefs.
  • Connected job capture, evidence-based triage, application drafting and follow-up in Job Search Dispatch, keeping the applicant in control of the route and submission.

I measure before I optimise.

I instrument inherited behaviour, trace where time or state is actually going, and change the smallest layer that explains the problem.

  • Instrumented ByteCroniX's inherited points-summary path, identified scoring services as the dominant latency contributors, then parallelised independent calls.
  • Revisited Melbourne Ultimate, traced silent session-role failures to fragmented authentication usage, and centralised session reads behind one database-verified guard.

I turn assumptions into enforceable boundaries.

I prefer schemas, explicit write rules and regression checks over relying on UI conventions, model behaviour or code-review memory.

  • Restricted Job Search Dispatch drafting to confirmed, permitted evidence and added validation, bounded repair and failure diagnostics before a generated letter replaces saved work.
  • Turned Melbourne Ultimate authorization and mass-assignment findings into automated regression tests and CI checks.
Product UI
React 19 · Next.js 15/16 · TypeScript · Tailwind CSS
APIs & Data
Node.js · Express · REST APIs · MongoDB · Convex
Auth & Delivery
Clerk OAuth · NextAuth · GitHub Actions · Docker · Vitest
AI & Validation
OpenAI Function Calling · Gemini · DeepSeek · Zod

Contact

I am based in Melbourne and open to full-stack software engineer opportunities. Email is usually the cleanest path for role details, interview scheduling and technical context.

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