I will build a custom fine tuned llm app with training pipeline and API
About this Gig
Want an AI model that speaks your domain and a working product around it, running privately? I'm a Senior Data Scientist with 7+ years in AI. I have fine-tuned open-source LLMs on real business data using LoRA, PyTorch FSDP and DeepSpeed, cutting training time by 3x. I deliver the full solution, not just model weights.
What you get:
Training pipeline: data cleaning, dataset preparation, LoRA or QLoRA fine-tuning of Llama, Mistral or Qwen, with before and after evaluation on your own test questions.
Serving API: fast inference with vLLM, authentication and usage limits, deployed on your cloud or GPU server.
Web app: chat or test interface plus an admin dashboard to compare model versions, review outputs and track usage.
Handover: Docker setup, source code, documentation and a walkthrough call.
The web app comes first. A mobile app can be added later as an extension.
Send me a sample of your data and your goal, and I will confirm the right package and expected gains before you order.
Programming Language:
Python
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Pytorch
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Tensorflow
Data Type:
Text
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Multimodal
AI Engine:
GPT
•
DeepSeek
•
Bert
•
Llama
•
PyTorch
Other Data Science & ML Services I Offer
FAQ
How much training data do I need?
For most tasks, 500 to a few thousand good examples are enough for LoRA. Quality matters more than volume, and the Basic package tells you exactly what you have.
Who pays for the GPUs?
Training runs on your cloud account (AWS, Azure, GCP or a GPU provider) so you keep the model and data. I estimate GPU cost up front; small LoRA runs usually cost very little.
Can you fine-tune OpenAI models instead?
Yes, I can prepare data for and run OpenAI or Azure OpenAI fine-tuning too. Open models are better when you need privacy, lower running cost or full control.
