I am a Data Scientist with a strong passion for Machine Learning (ML), Deep Learning, Natural Language Processing (NLP), Graph Neural Networks (GNNs), and Large Language Models (LLMs). My goal is to develop practical AI solutions that drive real-world impact.

My experience includes:

• Custom fine-tuning of LLMs ( LLaMA, Mistral) for enterprise applications.
• Design and deployment of high-performance graph-based retrieval systems.
• Advanced AI model optimization for GPU acceleration and distributed computing.
• End-to-end AI pipeline automation and cloud-based deployment strategies.
• Production-ready AI architectures with robust API integration and MLOps best practices.

I enjoy collaborating on challenging projects and continuously learning about advancements in AI and machine learning. I am passionate about driving innovation through AI and leveraging state-of-the-art models to solve complex industry challenges.

• Master’s in Data Science
  Higher Institute of Information and Communication Technologies (ISTIC)
  (2020 – 2022)

  • Specialization in Data Science & Smart Services.
  • Research on Graph Neural Networks (GNNs) for anomaly detection.

• Bachelor’s in Computer Science & Communication
  Higher Institute of Information and Communication Technologies (ISTIC)
  (2017 – 2020)

  • Focus on Data Structures, Algorithms, and AI-based applications.

✅ LLMs & NLP: Development of custom GPT models, fine-tuning Transformer architectures, optimization for low-latency inference.

✅ Graph AI & GNNs: Knowledge graph construction, GNN-based semantic search, AI-driven recommendation systems.

✅ Machine Learning & Deep Learning: Advanced ensemble learning, CNNs, YOLO, Bayesian ML, XGBoost.

✅ Data Engineering & Databases: Real-time AI pipelines, NoSQL & SQL databases, stream processing with Kafka.

✅ Cloud & DevOps: High-performance computing (HPC) for AI workloads, model compression, multi-cloud strategies.

📧 Email: chaymaelbahry1999@gmail.com
💼 LinkedIn: Chayma Elbahri