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Allwins Rajaiah

05

AI

AI applied to the estate you already run.

The production practice is enterprise engineering, data platforms, and application modernization. Personal experiments are a different page and are not described as shipped work.

Production experience

Taken from the current role and the résumé summary: AI and data modernization, integration of AI/ML with enterprise data for intelligent processing, natural-language interaction, automated documentation, and AI-assisted engineering.

  • Generative AI
  • Agentic AI
  • AgentCore Runtime
  • Amazon Bedrock
  • RAG
  • MCP
  • LLM applications
  • Knowledge bases
  • AI-assisted engineering
  • Natural-language data interaction
  • AI governance
  • Evaluation
  • Guardrails
  • Langfuse

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Plain-language flow

  1. 01Enterprise data — Trusted data products

    Data with an owner and a quality bar.

  2. 02Retrieval — RAG retrieval

    Find the smallest useful context.

  3. 03Context — Assembled context

    What the model is allowed to see for this request.

  4. 04LLM — LLM

    The model proposes. It does not skip policy.

  5. 05AI agent — Agentic AI, MCP

    Agentic AI and MCP as named in the practice. Tool use stays inside an explicit boundary.

  6. 06Enterprise action — A permitted system action

    A change or an answer the enterprise system is willing to accept.

Personal / experimental

A local Llama-based model, a RAG system, an AI agent, grocery and product recognition, and a voice or multimodal assistant are listed as personal experiments. They are not production claims.

Open personal projects