About

Product-focused full-stack engineer.

Focused on process quality and system reliability, with particular attention to transaction integrity, access control, and data consistency in risk-sensitive environments.

In cross-functional collaboration, I translate technical concepts into flow diagrams and concrete scenarios so non-technical stakeholders can quickly understand decision impact.

My hands-on experience includes internal financial operations systems, marketplace payment workflows, and an iOS product published on the App Store.

Impact Snapshot

−70%

Ops time

Interesty

−96%

Monthly cost

MenuGenie

−38%

Core backend processing time

MenuGenie

  • Served as Product Owner in a 12-person cross-functional team, aligning priorities and acceptance criteria to keep delivery stable through changing requirements.
  • Deliver frontend, backend, and cloud deployment end to end.
  • Build critical paths: payments, transaction state, and access control.
  • Add observability, backup/recovery, and audit trails.

Capabilities

I deliver products end-to-end, from requirements to reliable production.

  1. 01

    Scope

  2. 02

    Design

  3. 03

    Build

  4. 04

    Operate

  1. Scope Definition & Requirement Alignment

    Turn ambiguity into clear scope, priorities, and acceptance criteria.

  2. Workflow & State Design

    Define flow, state transitions, and permission boundaries before coding.

  3. Full-Stack Execution & Integrations

    Integrate frontend, backend, and asynchronous event handling into one production delivery path.

  4. Release Delivery & Reliability

    Operate products sustainably with observability, recovery readiness, and cost-aware reliability controls.

Skills Snapshot

Languages

PythonJavaC/C++C#TypeScriptJavaScriptSQLSwift

Frontend / Mobile

ReactNext.jsViteSwiftUIHTML/CSSTailwind CSS

Backend / API

FastAPISpring BootNode.js/ExpressFlaskNext.js API RoutesREST APIsGraphQLWebhooksJWTStripeStripe ConnectSignature Verification

Data / Cloud / Infrastructure

PostgreSQLFirestoreFirebaseCloud FunctionsFirebase HostingGCSGCPCloudflareAWSDockerKubernetes/K8sNginx / Reverse proxyTerraform

Engineering Practices

Git / GitHub FlowLinux / Shell scriptingCI/CD pipelineUnit testing (Jest / Pytest / JUnit)Integration / E2E testingSystem designWeb Security

Timeline

Education, leadership, internship execution, and products delivered in real-world use.

  1. Education

    Jul. 2020 - Oct. 2023

    Bachelor of Computer Science, RMIT University

    Built core algorithm and computer science fundamentals, explored the broader IT landscape, and confirmed software engineering as my long-term direction.

  2. Leadership

    Mar. 2023 - Nov. 2023

    Vice President, RMIT University Taiwanese Student Association

    Planned and executed 10+ events, from small gatherings to activities with capacity around 80 attendees. Owned budgeting, logistics, program coordination, and team delegation to keep cross-team execution stable.

  3. Education

    Feb. 2024 - Nov. 2026 (Expected)

    Master of Software Engineering, University of Melbourne

    Strengthened software process, requirements, and product delivery thinking through graduate study (WAM 74.65).

  4. Work

    Nov. 2024 - Jun. 2025

    Full-Stack Developer Intern, Vision Verse Interactive Pty Ltd

    Delivered DineSeal subscription and payment workflows across frontend and backend, including checkout, payment integration, subscription-state updates, and entitlement alignment tied to transaction outcomes.

  5. Product

    Nov. 2025 - Present

    Turned MenuGenie from prototype into an App Store iOS product

    Moved MenuGenie from prototype to App Store release, then improved production efficiency: core backend processing time down 38% and estimated monthly cost down about 96% (about 23x lower).

  6. Product

    Dec. 2025 - Mar. 2026

    Built Interesty as an internal financial system for a real client team

    Turned paper-based contract and payout work into a formal system with migration, reporting, backup/recovery, and auditability in real use. Measured outcomes: total ops time down about 70%, and data confidence improved by about 50% versus the legacy system.