Master's student in NLP (ILPC) at Université de Lorraine, focusing on LLMs and applied AI. Building the future of language technology through research and innovation.
Specializing in LLMs, multilingual NLP, and conversational AI systems.
Passionate about advancing language technology through cutting-edge research and practical applications
I am a Master 2 student in Natural Language Processing (NLP) at Université de Lorraine, specializing in the ILPC track. My academic and project experience is focused on Large Language Models (LLMs), fine-tuning, and applied NLP for multilingual and conversational systems.
During my studies, I have worked on projects such as intrinsic evaluation of word embeddings using attribution-based analysis of French grammatical gender in BERT/FlauBERT models, dialogue systems, Q&A systems, multilingual sentiment analysis, and knowledge extraction.
Technically, I am skilled in Python, PyTorch, HuggingFace Transformers, and deep learning frameworks. I also bring full-stack development experience through founding Researchlytic, a research platform leveraging ML/NLP for scientific discovery.
Master's in in Natural Language Processing at IDMC, Université de Lorraine. Bachelor's in Computer Science from University of the People with honors.
To advance the field of NLP through innovative research and practical applications that make language technology more accessible, interpretable, and impactful across languages and cultures.
A 4–6 month internship starting in March 2026 in NLP, Machine Learning, or AI where I can apply my knowledge of LLM fine-tuning, multilingual NLP, and conversational AI.
Mastering the tools and technologies that power modern AI and language systems
My journey through academia and professional projects
Conceptualised and developed Researchlytic, a powerful platform that helps researchers overcome the limitations of existing research tools. Used ML algorithms and NLP techniques to extract insights from millions of published studies.
Specializing in Natural Language Processing (ILPC track). Focus areas include Large Language Models, Multilingual NLP, Conversational AI, and Knowledge Technologies.
GPA: 3.80/4.00 (93%). President's List recipient. Gained knowledge of programming languages and software development principles.
Showcasing my work in NLP, AI, and full-stack development
Let's discuss opportunities in NLP, AI, and research collaboration
muhammad.tayyab5@etu.univ-lorraine.fr
+33 6 20 96 01 29
Nancy, France
linkedin.com/in/muhammad-tayyab-nlp
github.com/vtayyab6