I’m a PhD researcher in Natural Language Processing (NLP) with years of experience applying state-of-the-art transformer models (BERT, RoBERTa, GPT, etc.) to solve real-world problems. I can help you design, build, or optimize custom NLP systems that meet your specific needs — whether for production, research, or prototype development. My Expertise Includes: Text classification, clustering, and topic modeling Named Entity Recognition (NER), keyword extraction Sentiment and emotion analysis Document embeddings & semantic similarity Fine-tuning transformer models (BERT, RoBERTa, LLaMA, etc.) Dataset creation, cleaning, and preprocessing Feature extraction & word embeddings (Word2Vec, FastText, TF-IDF) Model evaluation & explainability (attention, SHAP, etc.) Tools & Frameworks: Python (PyTorch, TensorFlow, Hugging Face, Scikit-learn) NLP libraries: spaCy, NLTK, transformers Data: JSON, CSV, TXT, APIs, or custom datasets Why Choose Me: PhD-level understanding of NLP and AI Experience in both research and industrial NLP pipelines Clean, reproducible, and well-documented code Fast communication and tailored solutions