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
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