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ducthanh1810/README.md
Duc Thanh β€” AI Engineer

πŸ₯ Building Intelligent Healthcare Systems with AI

LinkedIn GitHub Dev.to


πŸ‘‹ About Me

I'm an AI Engineer specializing in Healthcare IT, building production-grade systems that bridge hospital operations with modern AI capabilities.

My flagship project β€” HISDashboard β€” connects directly to a hospital's core HIS (Hospital Information System) via Oracle Database, providing AI-powered analytics, automated reporting, and multi-agent workflows that help hospital staff make data-driven decisions daily.

class DucThanh:
    role = "AI Engineer"
    domain = "Healthcare IT"
    focus = ["Multi-LLM Agents", "RAG Systems", "Production AI", "Full-Stack"]
    
    current_project = "HISDashboard β€” Hospital Management System with AI"
    stats = {
        "api_endpoints": 292,
        "ai_agents": 10,
        "llm_providers": 4,
        "docker_services": 6,
    }

πŸ› οΈ Tech Stack

AI / ML

Python LangChain OpenAI Google Gemini ChromaDB MCP

Backend

FastAPI SQLAlchemy MySQL Oracle Redis JWT

Frontend

React TypeScript Vite Ant Design TailwindCSS

DevOps & Tools

Docker Cloudflare GitHub Actions Telegram Bot


πŸ† Featured Project

HISDashboard β€” Hospital Management System with AI

Full-stack hospital dashboard integrating AI agents, automated reporting, and real-time analytics β€” connected to a live Hospital Information System (Oracle HIS).

πŸ”’ By the Numbers

Metric Count
API Endpoints 292
Backend Services 44
AI Agents 10 (ReAct + Router + Reflection)
LLM Providers 4 (OpenRouter, Gemini, Groq, Ollama)
Scheduled Jobs 16
Docker Services 6
ORM Models 31

⚑ Key Technical Decisions

  • Multi-LLM with Fallback β€” No single point of failure for AI
  • Dual Database β€” MySQL (app state) + Oracle 11g (HIS read-only)
  • MCP Protocol β€” Standardized AI-tool communication
  • RAG + Hybrid Search β€” ChromaDB for hospital knowledge base
  • Bot Scheduler β€” Automated Telegram/Zalo reports with AI summary

Architecture Overview:

User β†’ React/Ant Design β†’ FastAPI (292 endpoints) β†’ MySQL + Oracle HIS
                                    ↓
                          AI Agent v2 (10 ReAct Agents)
                            β”œβ”€β”€ RAG (ChromaDB + Hybrid Search)
                            β”œβ”€β”€ Multi-LLM (4 providers + fallback)
                            β”œβ”€β”€ MCP Protocol (Tool Server)
                            β”œβ”€β”€ 40+ Tools (Analytics, Finance, HR, Predictive)
                            └── Bot (Telegram + Zalo auto-reports)

πŸ“Š GitHub Stats


🧠 What I'm Working On

  • πŸ”¬ AI Agent Orchestration β€” Multi-agent systems with reflection and self-correction
  • πŸ”— MCP Protocol β€” Building standardized tool servers for AI applications
  • πŸ“Š Healthcare Analytics β€” Anomaly detection and predictive analysis for hospital operations
  • πŸ€– Automated Reporting β€” AI-generated insights delivered via Telegram/Zalo bots

πŸ’‘ Core Beliefs

"Ship production systems, not prototypes."

  • 🎯 Systems > Models β€” A reliable system beats a slightly more accurate model
  • πŸ”„ Multi-LLM > Single-LLM β€” Never depend on one provider in production
  • πŸ“– Documentation is code β€” If it's not documented, it doesn't exist
  • πŸ₯ Domain expertise matters β€” AI without context is just a party trick

πŸ“« Let's Connect

Open to collaborations in Healthcare AI, AI Agent systems, and production ML engineering.

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