Skill Map

10 years of full-stack development + AI product expertise

55
Total Skills
22
Mastered
20
Applied
10
Next Up
精通
已應用
學習中
下一步
🏗️

Full-Stack Development

React + FastAPI + PostgreSQL, end-to-end delivery from prototype to production

🎨

Frontend

React 18/19 + TypeScript精通
100%

8+ production projects

Next.js 14-16 (App Router)精通
100%

Career Creator, Xian, Personal Site

Tailwind CSS + Design Systems精通
96%

All modern projects, PostCSS

Framer Motion / Animations已應用
67%

Personal site, landing pages

State Management (Zustand/Context)已應用
67%

Career Creator real-time sync

⚙️

Backend

FastAPI (Async-first)精通
100%

7+ projects, Pydantic v2, SQLAlchemy async

Python Ecosystem精通
100%

Poetry, ruff, pre-commit, pytest

REST API Design精通
96%

100+ endpoints (Med Vision)

Node.js / Express已應用
63%

Vercel serverless functions

TypeScript Backend學習中
47%

Self-identified gap, deepening

🗄️

Database

PostgreSQL + Cloud SQL精通
100%

5+ production DBs, async SQLAlchemy

Supabase (Realtime + RLS)已應用
67%

Duotopia multi-env, Career Creator

Firestore / NoSQL已應用
67%

Chinese Literacy Platform

Redis Caching已應用
63%

Chinese Literacy, Vercel KV

Database Migration (Alembic)已應用
67%

Career iOS, Career Creator

🧪

Testing & Quality

pytest + pytest-asyncio精通
96%

All FastAPI projects

Vitest + Coverage已應用
67%

Chinese Literacy, Career Creator

Playwright E2E已應用
67%

CI integration, load testing

TDD Workflow已應用
71%

Skill + agent system enforced

🧠

LLM & AI Applications

From API integration to agent architecture, battle-tested across 15 AI projects

🔗

LLM Integration

LLM API Integration精通
100%

Vertex AI, GPT-4, Gemini, Claude

Full-Stack AI Dev精通
100%

15 production AI projects

Medical Domain AI已應用
71%

SDM system, FHIR, MaiAgent

Structured Output (Pydantic/Zod)下一步
18%

P0 gap for agent reliability

🤖

AI Agent Architecture

AI Agent Architecture精通
100%

30 agents, 48 skills, 17 hooks

Claude Code Ecosystem精通
100%

Skills, hooks, agent teams, MCP

Multi-Project Orchestration精通
100%

Job Manager: 15 parallel projects

Custom MCP Servers下一步
14%

Understand protocol, not yet built

🔍

Retrieval & RAG

Naive RAG (L1)已應用
67%

Career iOS in production

Hybrid Search (L2: pgvector + BM25)學習中
43%

Implementing 2026 Q1

Reranker Pipeline (L3)下一步
14%

Cohere Rerank planned for TEMC

🎙️

Voice & Multimodal

STT (Deepgram, Azure Speech)已應用
67%

Duotopia, Xian voice PDCA

TTS (Fish Speech, OpenAI)已應用
67%

Voice-first UX design

Vision / Multi-Modal API下一步
14%

Research phase

🛡️

AI Governance & Optimization

Prompt Engineering已應用
67%

Strong intuition, building framework

Model Cost Routing已應用
67%

3-tier: Haiku/Sonnet/Opus

AI Observability下一步
14%

P0 gap for medical/finance

LLM Fine-tuning (LoRA)下一步
10%

Planned for TEMC Phase 2

☁️

Cloud & DevOps

GCP-first infrastructure powering $200K+/month revenue with GitHub Actions CI/CD

🌐

Google Cloud Platform

Cloud Run (Serverless)精通
100%

5+ production services, auto-scaling

Cloud SQL (PostgreSQL)精通
96%

Multi-env, backup, connection pooling

Artifact Registry精通
96%

Docker images, cleanup policies

Vertex AI已應用
67%

Gemini API, embeddings

IAM & Service Accounts精通
96%

CI/CD automation, multi-project

VPC & Networking已應用
63%

Multi-env, VPN (Suhul POC)

🔄

CI/CD Automation

GitHub Actions精通
100%

11+ workflows, multi-stage deploy

Per-Issue Preview Deploy精通
100%

Auto Cloud Run per PR/issue

Docker Multi-stage Builds精通
96%

20+ Dockerfiles across projects

Pre-commit Hooks精通
96%

Global hook system, secret scanning

🚀

Deployment Platforms

Vercel Deployment精通
96%

Med Vision, Personal Site, Henrytz

AWS CloudFormation已應用
63%

Suhul Tai'an migration POC

Terraform / IaC下一步
10%

Not yet used, GCP via gcloud CLI

📊

Operations & Observability

Cloud Logging (GCP)已應用
63%

Implicit with Cloud Run

Cost Optimization學習中
43%

GitHub Actions minutes tracking

Monitoring & Alerting下一步
10%

No Prometheus/Grafana/Datadog

Disaster Recovery下一步
10%

Single-region, no DR plan

Message Queues (Pub/Sub)下一步
10%

All sync architecture currently

Learning Roadmap 2026

1
2026 Q1 (Now)

Production RAG: Upgrade Career iOS L1→L2 (pgvector + BM25) Structured Output: Add Pydantic V2 / Zod validation to next 2 projects GCP Logging: Add structured logging to Med Vision

2
2026 Q2

TEMC Subject RAG (L2→L3 + Cohere Reranker) AI Observability: Build audit trail dashboard TypeScript deepening: Refactor 1 FastAPI→TS project

3
2026 Q3

VCA Course Launch: Systematize Prompt Engineering methodology Custom MCP Server (GitHub Issues / GCP integration) Monitoring: Cloud Monitoring + alerting policies

4
2026 Q4+

LLM Fine-tuning (LoRA): TEMC education model Pub/Sub async architecture Disaster recovery plan + multi-region evaluation

Top-tier practical skills in Taiwan's freelance market. The next step isn't learning more technologies — it's pushing existing skills from 'functional' to 'mastery'. RAG depth, AI observability, and Cloud operations are the highest-ROI breakthroughs.

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Skill Map | Young Tsai