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I will finetune llm and build custom rag chatbot using gpt and llama
Arslan Ali
About this gig
Want an AI smarter than ChatGPT, trained on your own data?
I fine-tune LLMs like LLaMA, DeepSeek, GPT, and Mistral, and build custom RAG (Retrieval-Augmented Generation) systems so your AI answers using your own documents, not generic internet data. Whether you need a private AI assistant, a domain-specific chatbot, or a smarter LLM-powered API, you get an accurate, optimized, and scalable solution built around your data.
What you get:
- Fine-tuning on LLaMA, DeepSeek, GPT, or other LLMs
- Dataset cleaning and preprocessing
- Custom RAG chatbot using FAISS or Weaviate
- LangChain or LlamaIndex pipeline setup
- OpenAI API tuning with better prompts and context
- Full deployment support: API, Docker, or Supabase
Your data. Your model. Your rules.
Message me before ordering so I can review your use case and recommend the right setup.
Get to know Arslan Ali
Arslan Ali
AI Engineer
- FromPakistan
- Member sinceJun 2024
- Avg. response time1 hour
- Last delivery7 months
Languages
Urdu, German, French, English
I'm an AI Engineer with 3+ years of experience building production-ready AI solutions for startups and businesses. I specialize in AI SaaS applications, LLM-powered assistants, RAG systems, AI agents, and workflow automation. I develop scalable backends with FastAPI, modern React.js frontends, and intelligent systems that process text, images, and voice. From enterprise chatbots to autonomous multi-agent platforms, I deliver reliable, secure, and production-ready AI products that solve real business problems.
My Portfolio
FAQ
What's the difference between fine-tuning an LLM and building a RAG chatbot?
Fine-tuning retrains the model itself on your data, changing how it responds at a core level. RAG keeps the base model as-is but connects it to a live knowledge source — your documents or database — so it retrieves accurate answers in real time. I use whichever fits your use case, sometimes both tog
Which LLMs do you work with — can you fine-tune LLaMA or DeepSeek specifically?
Yes. I work with LLaMA, DeepSeek, Mistral, and GPT-based models, and pick the right one based on your budget, data size, and whether you need open-source (self-hosted) or API-based deployment
Is my data kept private during fine-tuning?
Yes. Your dataset is used only to train your model and isn't shared, reused, or stored beyond the project scope. If you need a signed NDA before sharing sensitive data, I'm open to that.
How does deployment work once the model is ready?
Depending on your setup, I deploy via a REST API, a Docker container for self-hosting, or Supabase for a managed backend — whichever fits your existing infrastructure and technical comfort level
