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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

Project What It Does
🔍 Agentic RAG Framework Advanced retrieval with hybrid search, query classification & self-correction
🔗 MCP Agent Framework Multi-agent orchestration using Model Context Protocol
🧠 Prompt Engineering Toolkit Chain-of-Thought, Tree-of-Thoughts, ReAct, Self-Consistency
⚡ Unified LLM Engine Multi-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

Python FastAPI OpenAI Docker

Pinned Loading

  1. agentic-rag-framework agentic-rag-framework Public

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

    Python 1

  2. mcp-agent-framework mcp-agent-framework Public

    Model Context Protocol agent framework for enterprise AI orchestration

    Python 1

  3. prompt-engineering-toolkit prompt-engineering-toolkit Public

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

    Python 1

  4. unified-llm-engine unified-llm-engine Public

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

    Python 1