FL
Flutter App Delivery
Business screens, state management, API integration, media upload, edge states, and Android/iOS/OHOS release adaptation.
FlutterDartRiverpod
Jacky Chou
Flutter / Android / Java / AI Engineering
2015-now / Mobile / Backend / AI
Building mobile business systems, Java backends, and practical AI workflows
Since 2015, I have delivered production-facing mobile apps and business systems across Flutter, Android, Java backends, admin platforms, RAG knowledge bases, and MCP/Agent workflows.
I focus on complete delivery: product flows, native capabilities, backend APIs, AI boundaries, real-device verification, and deployment evidence.
11+ yrs
App and business system delivery since 2015
Full-stack
Flutter, Android, Java backend, Vue admin
AI-ready
RAG, MCP, Agent workflows, local LLM validation
Capability Matrix
Mobile, backend, and AI delivery
A practical stack for shipping client-ready products: mobile experience, native capability integration, backend systems, AI boundaries, and delivery evidence.
AN
Android Native Capabilities
Permissions, camera, location, QR scanning, push, sharing, WebView/MethodChannel, Gradle builds, and real-device debugging.
JavaKotlinGradle
AI
AI Engineering
RAG, embeddings, pgvector, OpenAI-compatible providers, local models, MCP tools, Agent workflows, and human handoff boundaries.
RAGMCPAgent
Selected Work
Case studies with delivery evidence
The selected cases emphasize responsibility, architecture, AI control boundaries, native app capabilities, and validation signals.
Primary Flutter Case
Flutter / Android / iOS / OpenHarmony
Pocket Home Flutter
A multi-platform B2B Flutter app covering property listings, customers, workbench, messages, profile flows, native capabilities, and release verification.
FlutterAndroidiOSOHOS
Real-device screenshots and release evidence
Mainstream app capability coverage
Native Android capability integration
AI Workflow
Flutter + Vue + Spring Boot + RAG
AI Customer Service Ticket System
An AI-first support workflow where knowledge-base answers are attempted first and low-confidence or out-of-scope questions move into human tickets.
RAGSpring BootVue
Controlled AI response boundaries
Human handoff and audit trail
Reusable MVP pattern for small businesses
AI Data Product
Flutter + Spring Boot + LLM
AI Weekly Business Report
A data-to-report workflow that uploads CSV/Excel files, computes metrics asynchronously, and generates reviewable Chinese business reports.
Async JobLLMDocker
Backend-owned metric calculation
Reviewable AI narrative generation
OpenAI-compatible and local model validation
Knowledge AI
Spring Boot + pgvector
RAG Knowledge Base
Document upload, chunking, embeddings, Top-K retrieval, source citation, and out-of-scope handling for enterprise knowledge Q&A.
RAGpgvectorEmbedding
Source-backed answers
Out-of-scope protection
Reusable enterprise Q&A base
Java Full-stack
Spring Boot + Vue Admin
Field Service Ops Platform
A reusable operations platform base covering authentication, RBAC, audit trails, customers, tickets, approvals, and smoke validation.
Spring BootVueRBAC
Reusable backend starter pattern
Admin workflow and API integration
Docker and smoke-test evidence
Proof Evidence
Designed for reviewers, clients, and interviews
The portfolio is structured around evidence: delivery scope, architecture, validation, AI boundaries, and communication-ready project narratives.
Evidence-first delivery
Case studies include screenshots or productized visuals, architecture nodes, validation evidence, and role boundaries.
Controlled AI behavior
AI cases emphasize source citations, out-of-scope handling, human handoff, and replaceable model providers.
Client-ready stack
Mobile apps, Java backends, Vue admin systems, RAG, Agent workflows, deployment, and verification are presented as one delivery system.
Private repository review
Core case-study repositories are kept private to protect project context, but code, commit history, build logs, and runtime evidence can be shared through authorized review when needed.
Contact