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Liuzikaii/README.md

Hi, I'm Zikai Liu 👋

Full-Stack · AI Agent · Cloud-Native Engineer

📍 Shenzhen, China · 😄 You can call me KK

I design and build production-oriented applications across Web, Mobile, Desktop, AI, and Cloud-Native Infrastructure.

I have end-to-end engineering capabilities spanning product prototyping, frontend and backend development, data modeling, AI integration, containerized delivery, Kubernetes orchestration, and production observability.

My current focus includes:

  • 🤖 AI Agents, RAG, tool calling, and multi-agent collaboration
  • 🌐 Full-stack Web, Mobile, and Desktop application architecture
  • ⚡ High-performance APIs, asynchronous tasks, and event-driven systems
  • ☸️ Docker and Kubernetes-based cloud-native platforms
  • 🔍 Production observability through metrics, logs, and monitoring
  • 🎬 AI-powered audio, video, OCR, and computer vision workflows

🚀 Core Engineering Capabilities

🤖 AI Agents & Intelligent Applications

  • LLM application and AI Agent architecture
  • Retrieval-Augmented Generation and knowledge base systems
  • Tool calling, workflow orchestration, and multi-agent collaboration
  • Speech recognition, speech synthesis, and audio processing
  • OCR, computer vision, and generative media pipelines
  • AI model serving, API integration, and containerized deployment

🌐 Full-Stack Application Development

  • React, Next.js, and TypeScript frontend architecture
  • Backend services built with FastAPI, Django, Gin, and Spring Boot
  • RESTful APIs, authentication, authorization, and state management
  • Cross-platform Mobile and Desktop application development
  • Relational, document, cache, and search-oriented data architecture

☸️ Kubernetes & Cloud-Native Engineering

  • Docker image building and multi-environment delivery
  • Kubernetes workload deployment and orchestration
  • Deployment, Service, and Ingress configuration
  • ConfigMap, Secret, and environment configuration management
  • Health checks, resource limits, and horizontal autoscaling
  • Rolling updates, fault recovery, and high-availability practices
  • Reverse proxy and TLS termination with Nginx and Caddy
  • Observability with Prometheus, Grafana, and the ELK Stack

⚡ Distributed Systems & Engineering

  • Event-driven architecture with Kafka
  • Asynchronous task processing with Celery
  • Redis caching, distributed state, and performance optimization
  • Service discovery and coordination with Consul and etcd
  • Search and log analytics with Elasticsearch
  • Metrics collection and visualization with Prometheus and Grafana

🧰 Complete Technology Matrix

🤖 AI Stack

LangChain Dify ComfyUI Whisper GPT-SoVITS PaddleOCR

Focus Areas

LLM Applications · AI Agents · RAG · Tool Calling · Workflow Orchestration · ASR · TTS · OCR · Generative AI


🧠 Programming Languages

Python JavaScript TypeScript Java Go C Shell


🌐 Web Frontend

React Redux React Router Next.js

🎨 UI & Design Systems

TailwindCSS Ant Design Shadcn/UI

⚙️ HTTP & Build Tooling

Axios Vite


🖥️ Mobile & Desktop

Flutter React Native Electron

Application Targets

Android · iOS · Windows · macOS · Linux


🧩 Backend & Service Frameworks

Django Django REST Flask FastAPI Gin GORM Spring Boot Tomcat Gunicorn uWSGI Uvicorn

Architecture Capabilities

RESTful APIs · Microservices · ASGI · WSGI · ORM · Authentication · Authorization


🗄️ Databases, Cache & Distributed Storage

MySQL PostgreSQL MongoDB Redis etcd

Data Capabilities

Relational Databases · Document Databases · Caching · Key-Value Storage · Data Modeling


📨 Messaging, Streaming & Task Queues

Kafka Celery Flower Consul

System Capabilities

Event-Driven Architecture · Message Streaming · Task Queues · Service Discovery


🔎 Search, Logging & Observability

Elasticsearch Logstash Kibana Grafana Prometheus

Observability Capabilities

Metrics · Logging · Search · Visualization · Monitoring · Alerting


☁️ Cloud-Native Infrastructure & DevOps

Kubernetes Docker Nginx Caddy Ansible Git

☸️ Kubernetes Engineering

Deployment Service Ingress ConfigMap Secret HPA Rolling Update

Cloud-Native Capabilities

Containerization · Orchestration · Service Exposure · Autoscaling · Rolling Deployments · Infrastructure Automation


🧪 QA, Crawling & Automation

Scrapy Selenium ZAP PyQt

Engineering Areas

Web Crawling · Browser Automation · Security Testing · Desktop Automation


📊 Data, Vision & Media

Pandas OpenCV FFmpeg MoviePy

Processing Capabilities

Data Processing · Computer Vision · Audio Processing · Video Processing


🔭 Current Focus

  • Building AI Agents with reliable tool-use capabilities
  • Exploring multi-agent collaboration and task orchestration
  • Designing production-oriented RAG and knowledge retrieval systems
  • Running AI services and distributed applications on Kubernetes
  • Improving autoscaling, monitoring, and fault recovery
  • Connecting the complete lifecycle from AI development to production delivery

💡 Engineering Philosophy

Design for clarity.
Build for reliability.
Observe before optimizing.
Automate repeated work.
Create systems that remain maintainable, scalable, and evolvable.

📫 Connect With Me


Building intelligent software from user experience and business services to Kubernetes infrastructure.

Pinned Loading

  1. KKRPA KKRPA Public

    自动化流程图形化编程平台,支持内嵌Python

    Python

  2. AgentItems AgentItems Public

    Agent项目集合

  3. HRAgent HRAgent Public

    HR Agent

    TypeScript

  4. antigravity-fashion-image-generator antigravity-fashion-image-generator Public

    High-quality fashion e-commerce image generator for Antigravity IDE only. Automatically creates product shots, model photos, banners, and more using the built-in generate_image tool.

  5. VideoStyle VideoStyle Public

    DIY your video style.