class RuchitDas:
def __init__(self):
self.name = "Ruchit Das"
self.role = "AI Engineer & Full-Stack Developer"
self.language_spoken = ["en_US", "hi_IN"]
self.current_focus = "Building Intelligent Agentic Systems"
def get_skills(self):
return {
"AI/ML": ["LLMs", "RAG", "LangChain", "LangGraph", "DSPy", "Ollama"],
"Deep Learning": ["TensorFlow", "PyTorch", "CNNs", "XGBoost"],
"Backend": ["Python", "FastAPI", "Node.js"],
"Frontend": ["React", "TypeScript", "Flutter"],
"Databases": ["PostgreSQL", "Vector DBs", "Neo4j"],
"DevOps": ["Docker", "Git", "Vercel"]
}
def get_current_adventure(self):
return "🔭 Exploring Neuro-Symbolic AI & Multi-Agent Orchestration"|
A Neuro-Symbolic RAG agent inspired by Apple's CLaRa. Built with the "2026 Stack" (DSPy, LangGraph, Ollama), featuring:
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Intelligent multi-agent system for automated tech blog creation:
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🌾 FarmAIAI-driven pest management for custard apple farming:
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Gesture-based drawing in thin air! 🪄
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High-performance React dashboard for real-time inventory tracking:
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Skill exchange platform with responsive React SPA:
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🔭 Building: Neuro-Symbolic AI Systems with Hybrid Memory
🌱 Learning: Advanced Agentic Architectures & DSPy
👯 Open to: Collaboration on AI/ML & LLM projects
💬 Ask me about: RAG, LangChain, Multi-Agent Systems, FastAPI
⚡ Fun fact: I can make AI agents write, review, and publish articles!

