I will deploy a private self hosted llm or ai voice assistant

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jamaliddin_s
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jamaliddin_s
Jamoliddin S
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Über diesen Service

Want your own private AI running on your servers, not someone else's cloud?

I set up open-source LLMs (Llama, Gemma, Qwen) on your own infrastructure via Ollama, so you get an internal "ChatGPT" that no outside company can see. I also build voice AI: text-to-speech and speech-to-text assistants and automated call flows, including Uzbek, Russian and other CIS languages most providers don't support.

What you get:

  • A self-hosted LLM installed and configured on your machine or server
  • A private web chat interface for your team
  • Optional voice assistant automated outbound calls, TTS/STT, multilingual
  • Source code and setup so you're never locked in

Tech: Ollama, Llama, Gemma, Hugging Face, TTS/STT, Docker

Why me: I deployed private LLM assistants inside a banking environment where data legally cannot leave the building, and built an Uzbek-language voice call center handling 24/7 automated calls. On-premise and CIS-language voice are exactly what I do.

Tell me your use case and whether you need text, voice, or both I'll scope it honestly before you order.

Lerne Jamoliddin S kennen

Jamoliddin S

Middle Data Analyst and AI ML Engineer

  • AusUsbekistan
  • Mitglied seitSept. 2026
  • ⌀ Antwortzeit1 Stunde
  • Sprachen

    Usbekisch, Englisch, Russisch
I am a Data Analyst and AI/ML Engineer with 3+ years of experience across fintech, banking, and e-commerce. I specialize in turning data into decisions using SQL and Python, and building private, on-premise LLM systems. I have successfully reduced credit default rates by 70% and automated HR documentation by 90% using RAG systems.

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