class AnuragPatil:
def __init__(self):
self.role = "AI Developer & Full-Stack Engineer"
self.location = "Pune, Maharashtra, IN"
self.specialization = [
"Artificial Intelligence & Machine Learning",
"Full-Stack Development (MERN/MEAN)",
"Mobile Development (Android/iOS)",
"System Programming & Architecture"
]
self.current_mission = "Building the future with AI-powered applications"
def get_tech_stack(self):
return {
"languages": ["Python", "JavaScript", "TypeScript", "Kotlin", "Java", "C++"],
"ai_ml": ["LangChain", "LLM Integration", "Multi-Agent Systems", "RAG", "Embeddings"],
"frontend": ["React", "Next.js", "Tailwind CSS", "Flutter"],
"backend": ["Node.js", "Express", "Flask", "FastAPI", "Spring Boot", "MongoDB", "Firebase", "Supabase"],
"mobile": ["Android Studio", "Flutter", "React Native"],
"tools": ["VS Code", "Neovim", "Postman", "Git"]
}| 🖥️ Operating Systems | 🛠️ Primary IDEs |
|---|---|
| macOS • Arch Linux (KDE Plasma) • Ubuntu (GNOME) | VS Code • Android Studio • Neovim |
- LangChain: Building AI Applications & Chains
- LLM Integration: OpenAI GPT, Google Gemini, Local LLMs
- Speech Systems: STT/TTS Engines
- Vector Databases: Embeddings & Semantic Search
- Multi-Agent Systems: Autonomous AI Workflows
- RAG Pipelines: Retrieval Augmented Generation
| Project | Description | Tech Stack |
|---|---|---|
| 🧠 AI Multi-Agent System | Autonomous AI agents collaborating to solve complex tasks | Python, LangChain, OpenAI |
| 📱 Smart Mobile App | Cross-platform app with AI features | Flutter, Firebase, TensorFlow Lite |
| 🌐 Full-Stack Platform | Scalable web application with real-time features | Next.js, FastAPI, MongoDB, Socket.io |
| 🔊 Voice Assistant | Custom voice-controlled AI assistant | Python, STT/TTS, NLP |
| ⚡ Microservices API | High-performance REST API with modern architecture | Spring Boot, Flask, PostgreSQL |
> Initializing next breakthrough...
> Loading creativity modules...
> Status: READY TO INNOVATE
⚡ Transforming ideas into intelligent reality — one commit at a time ⚡