➜ amoujar.com git:(main)

I have been working on Applied Machine Learning and AI Research for the past few years, building models and systems used in production environments.

I specialize in Large Language Models and Machine Learning (model development, training, fine-tuning, and deployment).

Bio

Currently an AI Research Engineer working on cutting-edge machine learning models and AI systems.

I previously worked on various AI/ML projects, contributing to research publications and building production-ready ML systems.

I graduated with:

• MSc / Degree in Computer Science / Machine Learning / AI.
• Research experience in Deep Learning, NLP, and AI systems.

Reach out if you have any questions: contact@amoujar.com

Selected publications

1. Nature

Your Publication Title Here

Author One, Author Two, Abderrahmane Moujar, and 3 more authors

Nature, 2024

Abs DOI PDF Code

2. Conference Name

Another Important Research Paper

Abderrahmane Moujar, Co-Author Name

Conference Name, 2024

PDF Code

3. arXiv

Preprint: Novel Approach to Machine Learning

Team Name, Abderrahmane Moujar, and 5 more authors

arXiv e-prints, Dec 2024

PDF Code

Research projects

Multilingual Machine Translation System

Developed a large-scale neural machine translation system supporting 100+ languages, focusing on low-resource language pairs and zero-shot translation capabilities.

Technologies: PyTorch, Transformers, Distributed Training

Demo Code Paper

Efficient LLM Fine-tuning Framework

Built a framework for efficient fine-tuning of large language models using parameter-efficient methods, reducing computational requirements by 80% while maintaining performance.

Technologies: Hugging Face, LoRA, PEFT

Code Documentation

Multimodal AI System for Speech and Text

Research on unified models that can process both speech and text modalities, enabling seamless translation and understanding across different input types.

Technologies: Speech Recognition, NLP, Multimodal Learning

Demo Code