I will fine tune your ai model or llm on your custom data
Software Architect and AI Automation Engineer
About this Gig
Off-the-shelf models are generic. Fine-tuning teaches a model your data, your tone and your task, so it performs like it was built for you.
I am a software architect and 9x Alibaba Cloud MVP. I fine-tune open and commercial models so they answer in your voice, follow your rules and handle your domain.
What I do for you:
Prepare, clean and format your dataset for training
Fine-tune the right base model using LoRA, PEFT or full fine-tuning
Evaluate the model against your own benchmarks so you can trust the result
Deliver ready-to-use weights, or deploy it as an API you can call
Document everything so you or your team can retrain later
Models and tools: GPT, Bert, RoBERTa and open LLMs, with Hugging Face, PyTorch and OpenAI fine-tuning.
Note: model training runs on cloud GPUs. I handle the setup, and we agree the compute plan before we start.
Message me with your use-case and a sample of your data, and I will recommend the right package.
Programming Language:
Python
•
Julia
•
C++
Data Type:
Text
•
Tabular Data
•
Multimodal
AI Engine:
GPT
•
Gemini
•
DeepSeek
•
Bert
•
RoBERTa
My Portfolio
FAQ
Do I need to provide the training data?
Ideally yes, your data is what makes the model yours. If you only have a little, I can help structure it, augment it, or advise on collecting more before we train.
Who pays for the GPU training compute?
Training runs on cloud GPUs billed by the hour. I set it up and keep it efficient; that compute cost is separate from my fee, and we agree the plan and a rough budget before starting.
