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KazKozDev/README.md
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Applied AI Developer working on open-source LLM applications.

  • Agents & tool calling — MCP servers, multi-step agents with structured outputs, retries, and guardrails
  • RAG — chunking, hybrid retrieval, re-ranking, grounded citations, eval-driven iteration
  • Local & cloud inference — Ollama and vLLM alongside OpenAI / Anthropic
  • Production — Python, FastAPI, Docker; tracing, evals, and cost/latency monitoring built into every project

Python · TypeScript · MCP · Ollama · RAG · Fine-tuning · Tool Calling · Structured Outputs · LLM Evaluation

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  1. NovelGenerator NovelGenerator Public

    Local AI novel generator for Gemini and Ollama. Write coherent novels chapter by chapter with causal planning, persistent story memory, scene handoffs, and continuity checks.

    TypeScript 152 36

  2. book-translator book-translator Public

    Offline AI book translator for EPUB, PDF, and TXT. Translate entire books and novels locally with Ollama, document glossaries, refinement, and side-by-side review.

    Python 110 21

  3. auto-vertical-reframe auto-vertical-reframe Public

    Scene-aware vertical auto-reframe CLI that turns horizontal footage into 9:16 video without losing the subject.

    Python 21 4

  4. prompt-playoff prompt-playoff Public

    Prompt optimization and benchmarking for local LLMs: picks the right prompt technique for your task and measures it on Ollama. DSPy-compatible.

    Python 2

  5. WebOperator WebOperator Public

    Local-first AI browser agent and MCP server for Chrome — runs on Ollama or any cloud model. Open-source alternative to OpenAI Operator.

    TypeScript 3

  6. docket docket Public

    Invoice and receipt OCR for Python: extract cited, validated data with local or hosted LLMs

    Python 1