Anas Belfathi
Research Scientist Open-source Legal Ai @Hugging Face
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WORK HISTORY
Research Scientist Open-source Legal Ai @Hugging Face
Designing evaluation protocols for legal reasoning, structured argument extraction, and long-document analysis- Working on retrieval-augmented pipelines to support case-law exploration and evidence-grounded responses- Contributing to open-source research projects focused on LLM-powered lawyer query understanding and automated legal report generation.
EDUCATION
Université Sorbonne Paris Nord
Master's degree, Exploration Informatique des Données et Décisionnel (EID2)
ABOUT ANAS BELFATHI
Hello and welcome to my profile!🥶 I’m a PhD candidate and NLP researcher working at the intersection of Large Language Models (LLMs), domain adaptation, and efficient language understanding systems. My research focuses on building and evaluating next-generation language models that can adapt, reason, and generalize across specialized and real-world contexts. My current interests include: LLM adaptation and fine-tuning for domain-specific applications. Retrieval-Augmented Generation (RAG) and corpus-level context integration. Evaluation of generative models for reasoning and factual consistency. Efficiency and scalability in LLM deployment and training pipelines.I’m deeply passionate about bridging the gap between theoretical research and practical AI systems, designing models that are not only powerful but also interpretable and resource-efficient. I’m continuously exploring new methods to push the limits of language understanding and make AI systems more transparent, adaptive, and impactful. Technical Expertise: Large Language Models: GPT-4, Mistral, LLaMA, Claude, Command-R, Gemma. Frameworks & Libraries: PyTorch, Transformers (Hugging Face), LangChain, OpenDevin, vLLM, DeepSpeed, PEFT. NLP & IR Tools: FAISS, BM25, Haystack, SpaCy, SentenceTransformers. Evaluation & Analysis: RAGAS, HELM, EVALS, PromptBench. MLOps & Deployment: Docker, Ray, Weights & Biases, FastAPI.
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