Nguyễn Minh Trí Nguyen-Minh-Tri - GitHub

👋 Hello! I'm a Full-Stack Developer & AI Enthusiast

🚀 About Me

Passionate software developer with expertise in building intelligent, scalable applications. I specialize in full-stack development with a focus on AI-powered systems and modern web technologies. My journey combines deep technical knowledge with creative problem-solving to deliver innovative solutions.

🛠️ Technical Expertise

Frontend Development

• React with TypeScript & Modern Hooks
• Vite for optimized development workflows
• Tailwind CSS & Responsive Design
• SignalR for Real-time Applications
• State Management & Component Architecture

Backend Development

• .NET 8 & ASP.NET Core
• Clean Architecture & Domain-Driven Design
• Entity Framework Core with PostgreSQL
• SignalR & WebSocket Implementation
• RESTful APIs & Microservices

AI & Machine Learning

• Semantic Kernel for AI Integration
• OpenAI, OpenRouter, ZhipuAI APIs
• Vector Embeddings & Semantic Search
• Multi-Agent Systems & Orchestration
• Embedding Generation & Similarity Search

DevOps & Infrastructure

• Docker & Container Orchestration
• PostgreSQL with pgvector Extension
• Redis for Caching Solutions
• Nginx Reverse Proxy Configuration
• CI/CD Pipelines & Deployment

🌟 Featured Project: DeepResearch

Deep Research - AI-Powered Research Automation Platform

🧠 An intelligent research platform that combines AI agents, web search, and vector similarity to provide comprehensive research capabilities with a modern, responsive interface.

🏗️ Architecture Highlights

graph LR subgraph "AI Agents" A[Planner Agent] B[Research Agent] C[Analysis Agent] D[Report Agent] end subgraph "Core Technologies" E[.NET 8 Backend] F[React Frontend] G[PostgreSQL + pgvector] H[SearXNG Search] end A --> E B --> E C --> E D --> E E --> G E --> H F --> E Loading

🔧 Key Features Implemented

• Multi-Agent AI System: Orchestrated research pipeline with specialized agents
• Real-time Communication: SignalR integration for live progress tracking
• Vector Search: Semantic similarity using pgvector embeddings
• Privacy-Focused Search: SearXNG meta-search engine integration
• Modern UI/UX: React with TypeScript, Tailwind CSS, and responsive design
• Clean Architecture: Separation of concerns with domain-driven design

💡 Technical Innovations

• Implemented asynchronous research orchestration with progress tracking
• Created vector similarity search for intelligent content discovery
• Developed real-time WebSocket communication for live updates
• Designed scalable microservices architecture with Docker containerization

📊 My Development Approach

graph TD A[Problem Analysis] --> B[Architecture Design] B --> C[Clean Implementation] C --> D[Testing & Validation] D --> E[Deployment & Monitoring] E --> F[Continuous Improvement] F --> A Loading

Core Principles

• 🎯 User-Centric Design: Building solutions that solve real problems
• 🔧 Clean Code: Maintainable, testable, and well-documented code
• 🚀 Performance: Optimized solutions that scale efficiently
• 🤝 Collaboration: Strong team player with excellent communication skills
• 📚 Continuous Learning: Staying updated with latest technologies

🏆 Skills & Competencies

Category	Technologies	Proficiency
Frontend	React, TypeScript, Tailwind CSS, Vite	⭐⭐⭐⭐⭐
Backend	.NET 8, ASP.NET Core, Entity Framework	⭐⭐⭐⭐⭐
Database	PostgreSQL, Redis, Vector Databases	⭐⭐⭐⭐
AI/ML	Semantic Kernel, OpenAI APIs, Embeddings	⭐⭐⭐⭐
DevOps	Docker, CI/CD, Cloud Deployment	⭐⭐⭐⭐
Architecture	Clean Architecture, Microservices, DDD	⭐⭐⭐⭐⭐

🎯 Current Focus

• 🔍 AI-Powered Solutions: Exploring new frontiers in artificial intelligence
• 🏗️ Scalable Architecture: Building systems that grow with user needs
• 🌐 Open Source: Contributing to meaningful projects and communities
• 📚 Knowledge Sharing: Documenting best practices and learning experiences

"Building intelligent systems that make a difference, one line of code at a time."

*💫 What is the meaning of life? *