I will finetune a custom nlp or transformer model and deploy it as a web app
AI, ML Engineer specializing in LLM Automation and Document Intelligence
About this Gig
Turn your text data into a production-ready AI application.
I fine-tune NLP and Transformer models on your custom dataset and deliver a complete solutionnot just a trained model. Whether you need text classification, sentiment analysis, named entity recognition (NER), summarization, topic classification, or instruction fine-tuning, I'll build a model tailored to your use case and deploy it as an easy-to-use web application.
What I build
Custom NLP & Transformer model fine-tuning
Text classification, sentiment analysis, NER, summarization & topic modeling
QLoRA fine-tuning for open-source LLMs (Llama, Mistral, DeepSeek)
Functional web application for inference
Model evaluation report (Accuracy, Precision, Recall & F1)
Clean, documented source code
Tools
Python Hugging Face PyTorch TensorFlow PEFT QLoRA Scikit-learn Streamlit FastAPI
Please contact me before ordering so I can review your dataset and recommend the right package and adjust pricing if needed .
Programming Language:
Python
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Keras
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Pytorch
Data Type:
Text
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Tabular Data
AI Engine:
DeepSeek
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TensorFlow
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Bert
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RoBERTa
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Llama
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PyTorch
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Other
My Portfolio
FAQ
Can you fine-tune GPT-4 or other closed-source models?
No. I fine-tune open-source models such as Llama, Mistral, DeepSeek, BERT, RoBERTa, and DistilBERT. Closed-source models like GPT-4 or Claude can be integrated via APIs but cannot be fine-tuned by me.
What dataset size is recommended?
It depends on the task. I can help determine whether your dataset is sufficient before starting the project.
Will I receive the source code?
Yes. All packages include clean, well-documented source code.
Can you deploy the model as a web application?
Yes. Standard and Premium packages include a functional web application for testing and using your model. Premium also includes deployment support.

