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$
USD
I will build nlp sentiment and classification models
AI Engineer
I'm an AI engineer with over 4 years in machine learning, deep learning
and natural language processing. I work with real-world data and build
models that solve practical problems.
My work covers tex...
About this Gig
I build NLP models that work on real, messy text data. With 4 years in machine learning and deep learning, my focus is delivering text models you can actually use and trust.
WHAT YOU GET
- Clean, well-structured Python code you can run yourself
- A trained model with honest evaluation metrics you can verify
- Clear documentation so you know how everything works
- Charts that show how the model performs on your data
WHAT I WORK ON
- Sentiment analysis on reviews, comments and social posts
- Text classification and topic tagging
- Spam and toxic-content detection
- Named entity recognition and keyword extraction
- Transformer fine-tuning with BERT and DistilBERT
- Custom text models built around your specific problem
TOOLS I USE
Python, PyTorch, TensorFlow, Hugging Face, Scikit-learn, pandas, NumPy, Matplotlib
BEFORE YOU ORDER
Send me your dataset, your problem, or what you want the model to do. I'll confirm which package fits and whether your goal is realistic in that scope. I keep it straight with you from the start.
Programming language:
Python
•
SQL
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
APIs:
Other
Tools:
Jupyter Notebook
•
TensorFlow
•
Colab
FAQ
Do I need to provide the dataset?
Yes, your own text data gives the best results since the model learns from your real examples. If you don't have a dataset, tell me your goal and I'll help you find a suitable public one.
Will the code run on my machine?
Yes. You get the full code with a requirements file and setup steps. If you only have a CPU or limited memory, tell me before ordering and I'll pick a model that fits your hardware.
Can you fine-tune a transformer like BERT for my task?
Yes. I work with BERT and DistilBERT for tasks like sentiment, classification and entity recognition. Send me your task and data size and I'll tell you if a transformer is the right fit or if a lighter model works better.
