Muhammad Mahr Ali Arshad

I’m an AI Engineer with a research internship at INRIA and an MSc in Artificial Intelligence Systems from EPITA. My work spans the full ML lifecycle: from fine-tuning large language models (QLoRA/LLaMA2) and building agentic AI systems, to deploying production-grade computer vision pipelines with PyTorch, CUDA, SAM, and CLIP.

I’ve built MLOps infrastructure with Airflow and Docker, serverless platforms on AWS, and NLP systems for multilingual data — with a peer-reviewed publication in Scientific Reports and a 4th place finish in an international data science competition to back it up.

I take on projects in: LLM fine-tuning & prompt engineering, conversational AI & chatbots, computer vision pipelines, MLOps & model deployment, data science & predictive modeling.

Based in Nantes. Available for freelance missions. Fluent in English and French (B1).