I will fine tune your llm with lora on your custom dataset

Your base model doesn't know your data. I'll fix that.

I fine-tune open and closed LLMs (Llama, Mistral, Qwen, GPT, Gemini) on your own dataset using LoRA/QLoRA, so the model answers in your domain, your format and your tone, without training from scratch.

WHAT YOU GET

A fine-tuned model, delivered as weights or a running endpoint

Your dataset cleaned and formatted for training

A before/after benchmark on a held-out test set, so you see the gain

Inference script and README your team can pick up

A summary of what changed and what I'd tune next

TYPICAL PROJECTS

Support bots trained on internal ticket history

Domain models for legal, medical or financial text

Structured-output models that return reliable JSON

Small models tuned to replace an expensive API call

WHY ME

PhD in Computer Science, published in Scientific Reports, 100+ citations, Best Paper Award for federated learning safety. I benchmark every model I deliver, so you get numbers, not a claim.

HOW WE START

Send me your dataset and the outcome you need. I'll tell you within hours whether fine-tuning is the right tool, or whether RAG would get you there cheaper. Free 15-minute call.