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AI Developer: LLM Apps, AI Agents & Model Training

I add AI where it moves a business metric: voice assistants that pre-qualify leads, agents that automate busy work, and models trained or fine-tuned on your own data, wrapped in apps people actually use.

LLMsAI agentsModel trainingVoice AI

What you get

  • LLM integration (OpenAI, Claude, Gemini)
  • AI agents & workflow automation
  • Voice bots & conversational AI
  • RAG / chat with your documents
  • Data collection, cleaning & labeling
  • Model training & fine-tuning
  • Evaluation, scoring & monitoring
  • OCR & document understanding

How it works

  1. 1. Let’s talk · 1–2 days

    A free call or a WhatsApp chat. I ask what you’re actually trying to do, not what you think you should ask for. You get the price and plan in writing.

  2. 2. Let’s think · 1–3 weeks

    What should exist first? What can wait? I make a clickable Figma version you can try before any code, and I’ll tell you if something isn’t worth building yet.

  3. 3. Let’s build · 2–12 weeks

    I build it in small pieces. You get a live link from the first week, so you see real progress instead of a big reveal at the end.

  4. 4. Let’s launch · About 1 week

    Testing, app store submission, going live, and making sure Google can read it.

  5. 5. Let’s grow · If you want

    Fixes, new features and search work. This is the part most people stop doing once the invoice is paid.

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Need help with ai, llms & model training?

Share a few lines about your project — I reply with next steps, a timeline and a fixed quote.

FAQ

Do I need my own data to use AI?+

Not always. Many products start with a strong LLM plus your documents (RAG). Training or fine-tuning makes sense once you have enough quality data; I help collect, clean and label it.

Is my data safe?+

I design for privacy from day one: minimal data sent to models, encryption, access control and providers that do not train on your data.