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    TEJA4704/README.md

    Hi, I'm Ravi Teja 👋 | AI/ML Engineer

    Founder @ ProServIQ.com

    I specialize in rescuing broken AI pipelines and building production-grade RAG agents.

    🛠️ Arsenal

    • Generative AI: RAG Pipelines, Multi-Agent Systems, Prompt Engineering (CoT, ToT, ReAct)
    • Vector Ops: Qdrant, Pinecone, pgvector, Hybrid Search
    • LLM Infrastructure: OpenAI, Anthropic, Gemini, Ollama, Cost Optimization
    • Automation: n8n Expert, Workflow Optimization, Zaphier
    • Stack: Python, FastAPI, Docker, Async

    🚀 Featured Open Source

    ProjectWhat It Does
    🔍 Agentic RAG FrameworkAdvanced retrieval with hybrid search, query classification & self-correction
    🔗 MCP Agent FrameworkMulti-agent orchestration using Model Context Protocol
    🧠 Prompt Engineering ToolkitChain-of-Thought, Tree-of-Thoughts, ReAct, Self-Consistency
    ⚡ Unified LLM EngineMulti-provider LLM abstraction with automatic fallbacks

    💼 Production Experience

    • Production RAG Engine: Hybrid Search & Re-ranking for enterprise clients
    • Financial Fraud Sentinel: Real-time anomaly detection for high-volume transactions
    • Customer Support Agent: Autonomous L1/L2 query handling

    📫 Let's Connect

    PythonFastAPIOpenAIDocker

    Pinned Loading

    1. agentic-rag-frameworkagentic-rag-frameworkPublic

      Advanced RAG with hybrid search, query classification, answer fusion, and self-correction

      Python 1

    2. mcp-agent-frameworkmcp-agent-frameworkPublic

      Model Context Protocol agent framework for enterprise AI orchestration

      Python 1

    3. prompt-engineering-toolkitprompt-engineering-toolkitPublic

      Advanced prompt engineering techniques: Chain-of-Thought, Tree-of-Thoughts, ReAct, Self-Consistency

      Python 1

    4. unified-llm-engineunified-llm-enginePublic

      Multi-provider LLM abstraction layer with automatic fallbacks and cost tracking

      Python 1