RAG / Internal Copilot
AI Knowledge Workspace
Built MVP flows for ingestion, chunking, embeddings, retrieval, and answer evaluation for a startup AI assistant.
Private build
Full-stack Engineer / AI-native Builder
J.yeu / Full-stack Engineer / Product-minded Technologist
Full-stack engineering with broad technical range and product taste.
I build across frontend, backend, desktop, mobile, and AI workflows, with a bias toward products that are coherent from interface to infrastructure.
Role
Full-stack engineer building across frontend, backend, mobile, and AI workflows
Coverage
Product UI, APIs, realtime systems, desktop apps, and AI-assisted features
Core Stack
TypeScript, React, Astro, Bun, Go, Electron, Flutter, RAG systems
Profile
Engineering Surface
Cross-domain Builder
ActiveComfortable moving from product UI and frontend architecture to backend services, mobile delivery, realtime communication, and AI feature design.
Build Range
Wide
Web, backend, mobile, desktop, and AI-assisted flows.
AI Fluency
Practical
Use AI as a product capability, not a decoration layer.
Full-stack delivery with strong UI sensibility and practical AI thinking.
Capabilities
Broad engineering coverage, not a single-lane profile.
I have built product experiences across multiple layers, which lets me reason about delivery as a whole: interface, service, platform, and AI behavior.
Engineering Areas
What I am comfortable building
Frontend
React, Astro, Tailwind, interaction design, component systems, dashboard interfaces.
Backend
Node.js, Go, APIs, database design, service integration, system-level debugging.
Mobile + Desktop
Flutter and Electron experience for shipping cross-platform product surfaces.
AI Application Layer
Prompt workflows, RAG prototypes, embedding pipelines, retrieval tuning, and productized AI UX.
Capabilities
System Vocabulary
TypeScript
Astro
React
Next.js
Bun
Node.js
Go
Electron
Flutter
WebRTC
SQL
REST API
AI Products
RAG Pipelines
System Design
Product UI
Knowledge Workflows
Approach
I prefer calm interfaces, clear systems, and AI features that solve real product problems.
The goal is not to touch every layer. It is to understand enough layers to ship the right thing well.
Selected Systems
Products, experiments, and infrastructure that shape the brand.
A few projects that show the range: realtime systems, AI workflows, and product curation with a strong interface bias.
WebRTC / Electron
Realtime Collaboration Stack
Maintained cross-platform IM and conferencing experiences with a focus on stability, call quality, and product polish.
Private build
Curated Product
Design Reference Engine
Created a reference system for discovering and organizing visual inspiration with strong editorial taste and utility.
Background
From architecture to software systems
I moved from architectural design into software development, which still shapes how I think: structure first, atmosphere second, precision always.
That combination is why I care about AI product interfaces that feel coherent end to end, from model behavior and data flow to layout, language, and motion.
Connection
Open for thoughtful collaborations
If you are building an AI-native product, a premium internal tool, or a future-facing developer experience, I am interested in projects where product taste and technical architecture need to move together.