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ravicha2.github.io

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Applied AI Engineering — fault-tolerant multi-agent pipelines, GraphRAG memory systems, and distributed data engines.
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    page: Every page

    search-projectsAnswer

    Search the engineering portfolio by keyword and return matching projects, each with the artifact that settles its headline figure.

    View tool JSON
    {
      "name": "search-projects",
      "kind": "answer",
      "impl": "imperative",
      "description": "Search the engineering portfolio by keyword and return matching projects, each with the artifact that settles its headline figure.",
      "inputSchema": {
        "type": "object",
        "properties": {
          "q": {
            "type": "string",
            "description": "Keyword(s) to match against project titles, summaries, technologies, and case-study text."
          }
        },
        "required": [
          "q"
        ],
        "additionalProperties": false
      },
      "page": "/"
    }
    get-projectAnswer

    Read one engineering project's trade-offs and verification detail by slug, from the same case study its page renders.

    View tool JSON
    {
      "name": "get-project",
      "kind": "answer",
      "impl": "imperative",
      "description": "Read one engineering project's trade-offs and verification detail by slug, from the same case study its page renders.",
      "inputSchema": {
        "type": "object",
        "properties": {
          "slug": {
            "type": "string",
            "description": "The project slug, e.g. \"shepherd\". Returned by search-projects."
          }
        },
        "required": [
          "slug"
        ],
        "additionalProperties": false
      },
      "page": "/"
    }
    describe-siteAnswer

    Describe what this site publishes — the person, the pages, and the machine-readable files — and give the URL where each document lives.

    View tool JSON
    {
      "name": "describe-site",
      "kind": "answer",
      "impl": "imperative",
      "description": "Describe what this site publishes — the person, the pages, and the machine-readable files — and give the URL where each document lives.",
      "inputSchema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "page": "/"
    }