Hi! I'm Coco, a Golang backend developer focusing on business design and modeling. I excel in efficient development and implementing AI technologies in business scenarios. I primarily develop in Golang and prefer Linux development environments.

• Programming Language: Golang
• AI/LLM: LangChain, OpenAI API, Embedding
• Development Environment: Linux
• Databases: MySQL, MongoDB, ClickHouse, InfluxData, PostgreSQL
• Container Orchestration: Kubernetes
• Code Repository: GitLab
• Image Registry: Harbor

• AI Process Enhancement:

  • Designed and implemented LLM-RAG based intelligent knowledge base retrieval and Q&A system
  • Optimized similarity matching algorithms using Embedding technology
  • Established prompt engineering best practices to improve AI response quality

• Business Design & Modeling: Responsible for business logic design and modeling across multiple projects, ensuring efficient system architecture

• Cloud Native K8s Cluster: Managed containerized deployments and production environment operations using Kubernetes clusters, ensuring high availability and scalability

• Database Management: Proficient in data storage and management with MySQL, MongoDB, ClickHouse, and InfluxData, optimizing database performance

• DevOps Practices: Utilized GitLab for code management and CI/CD pipelines, managed image repositories with Harbor to improve development and deployment efficiency

GitHub: [coco]

你好！我是coco，一名专注于业务设计和建模的Golang后端开发工程师，擅长高效开发以及AI技术在业务场景中的应用与落地。主要使用Golang进行开发，偏好Linux开发环境。

• 编程语言: Golang
• AI/LLM: LangChain, OpenAI API, Embedding
• 开发环境: Linux
• 数据库: MySQL, MongoDB, ClickHouse, InfluxData,PostgreSQL
• 容器编排: Kubernetes
• 代码仓库: GitLab
• 镜像仓库: Harbor

• AI流程赋能:

  • 设计并实现基于LLM-RAG的智能知识库检索与问答系统
  • 运用Embedding技术优化相似度匹配算法
  • 建立prompt工程最佳实践，提升AI响应质量

• 业务设计与建模: 负责多个项目的业务逻辑设计与建模，确保系统架构合理高效

• 云原生K8s集群: 使用Kubernetes集群管理容器化部署和生产环境运维，确保高可用性和可扩展性

• 数据库管理: 精通MySQL、MongoDB、ClickHouse和InfluxData的数据存储与管理，优化数据库性能

• DevOps实践: 利用GitLab进行代码管理和CI/CD流程，使用Harbor管理镜像仓库，提升开发部署效率

GitHub: [coco]