I will build custom nlp, transformer models as bert, gpt in python
Reliable, Research Driven, and Ready to Build Your Next AI Project
About this Gig
I am an NLP & AI specialist who builds custom transformer-based solutions (BERT, GPT, RoBERTa, LLaMA) for real-world text problems.
I help businesses, startups, and researchers solve high-value NLP tasks such as text classification, sentiment analysis, spam & toxicity detection, topic modeling, keyword extraction, document clustering, chatbot intelligence, and data labeling automation.
What I can do for you
- Fine-tune transformer models on your data
- Build text classification & sentiment analysis systems
- Detect spam, hate speech, or fake reviews
- Create LLM-powered chatbots and NLP pipelines
- Clean, preprocess, and vectorize large text datasets
- Deliver ready-to-use Python code and trained models
I use Hugging Face, PyTorch, and modern NLP techniques to deliver models that are accurate, scalable, and production-ready.
Whether you need a research-grade NLP model or a business-ready AI solution, I will tailor everything to your data and goals.
Send me a message with your task or dataset and lets build your NLP solution.
FAQ
What NLP tasks can you do?
I work on a wide range of NLP tasks including text classification, sentiment analysis, spam/toxicity detection, topic modeling, keyword extraction, named entity recognition (NER), question answering, summarization, and chatbot intelligence using transformer models.
What kind of data do you need to start?
I typically need a labeled dataset (CSV/Excel/JSON) with text and targets. If your dataset isn’t labeled, I can help with preprocessing or data preparation before modeling.
Which models and tools will you use?
I use industry-standard tools like Hugging Face Transformers, PyTorch, TensorFlow and models such as BERT, RoBERTa, GPT variants for training and fine-tuning depending on your requirement.
