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wxj006007/README.md

Hi, I'm wxj006007 👋

Python Backend · AI Applications · Agent Systems
Developer · Class of 2028
Seeking internships in AI agent development and backend engineering

Contributing to · Selected Projects · Tech Stack


About Me

I'm wxj006007, a developer focused on Python backend engineering and AI applications. I expect to graduate in 2028 and am seeking AI agent development and backend engineering internships.

I handle development across all components of AI Meeting, Cloud Agent, and AI Sidebar, covering backend APIs, agent orchestration, data storage, and frontend interactions. My focus is on integrating model capabilities into practical applications while improving reliability and user experience.

  • Backend engineering: Asynchronous APIs, authentication, caching, task queues, and concurrency and consistency in stateful workflows.
  • AI & agents: Multi-agent workflows, tool calling, context assembly, and memory management.
  • Application development: Streaming conversations, real-time voice interactions, browser extensions, and interactive interfaces.

Contributing to

Selected Projects

An interview practice workflow covering resume uploads, AI-generated questions, voice or text answers, scoring, follow-up questions, and review reports.

My role: Responsible for development across the project, including backend logic, the frontend demo, voice and AI service integrations, tests, and container configuration.

  • Interaction flow: Interview sessions, AI conversations, and agent conversations with real-time speech recognition, speech synthesis, and SSE streaming.
  • State & concurrency: Redis state machines, Lua CAS, idempotency controls, and per-question locks to handle duplicate submissions and conflicting interview state updates.
  • Engineering setup: A frontend demo, database migrations, automated tests, and Docker Compose configuration.

Python FastAPI MySQL MongoDB Redis WebSocket

A research and Q&A system for cloud platform scenarios, combining agent orchestration, tool calling, and multiple memory layers.

My role: Responsible for agent workflows, MCP tool integration, memory and knowledge storage, backend APIs, and the frontend chat interface.

  • Agent orchestration: LangGraph workflows with tools connected through MCP.
  • Memory & knowledge: Redis for short-term memory, Milvus for long-term memory and semantic caching, and Neo4j for knowledge graphs.
  • Access options: FastAPI streaming endpoints, a Vue 3 chat interface, and a CLI.

Python LangGraph MCP Milvus Neo4j Vue 3

A browser extension that brings AI conversations into web reading, with questions about selected text, page context attachments, and one-click summaries.

My role: Responsible for all extension components, including page content extraction, context assembly, model integration, session management, and sidebar interactions.

  • Context handling: Extracts page content, filters irrelevant page elements, and attaches surrounding context to selected passages.
  • Conversation experience: Streaming responses, multiple sessions, persistent history, and context windows for multi-turn conversations.
  • Model integration: Supports OpenAI-compatible APIs, model switching, and per-model API key configuration.

TypeScript React Vite Tailwind CSS Chrome Extension MV3

A backend engineering practice project covering JWT authentication, task CRUD, pagination and filtering, Redis caching, and asynchronous CSV exports with Celery. Includes tests and Docker Compose configuration.

Python FastAPI PostgreSQL Redis Celery Docker

Technologies Used in My Projects

Area Technologies & Tools
Backend & APIs Python · FastAPI · Pydantic · SQLAlchemy · SSE · WebSocket
AI & Agents LangGraph · MCP · Model API integration · Context & memory management
Data & Tasks MySQL · PostgreSQL · MongoDB · Redis · Milvus · Neo4j · Celery
Frontend & Extensions TypeScript · React · Vue 3 · Vite · Tailwind CSS · Chrome Extension
Engineering Tools Git · Docker Compose · pytest · Ruff · Alembic · uv

Internships & Contact

I'm seeking AI agent development and backend engineering internships, with an interest in building agent applications, AI tools, and backend services.

  • Expected graduation: 2028
  • Contact: The email address listed on my GitHub profile

Feel free to reach out about internship opportunities or use project Issues to discuss implementation details and improvements.

Pinned Loading

  1. shareAI-lab/learn-claude-code shareAI-lab/learn-claude-code Public

    Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1

    Python 80.4k 12.9k

  2. ai-sidebar-extension ai-sidebar-extension Public

    TypeScript 4 3

  3. ai-meeting ai-meeting Public

    码上面试平台 Python 重写版(FastAPI),API 契约与原 Java 项目一致

    Python 6 4

  4. cloud_agent cloud_agent Public

    Deep research cloud agent

    Python 4 2

  5. fastapi-task-api fastapi-task-api Public

    Async FastAPI task management API with PostgreSQL, Redis, Celery, JWT, tests, and Docker Compose.

    Python 5 4

  6. ai-interview ai-interview Public

    Python 4 2