Mustapha Ghiati

About Me

Professional Journey

AI Innovation Timeline

AI Engineer with a Master's in Artificial Intelligence from Ibn Tofail University (2023–2025) and a Bachelor's in Mathematics and Applications (2019–2023). I specialize in developing cutting-edge solutions using Large Language Models, Natural Language Processing, and Computer Vision.

My expertise lies in creating scalable AI systems that bridge the gap between theoretical research and practical applications. I have successfully implemented multi-agent systems, hybrid RAG pipelines, and ensemble models that deliver real-world impact in healthcare, education, and financial sectors.

Passionate about ethical AI development and committed to building solutions that not only push technological boundaries but also create meaningful value for society. I thrive in collaborative environments where innovation meets practical problem-solving.

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Education

Dec 2023 – July 2025

Master's in Artificial Intelligence

Ibn Tofail University

Advanced coursework in machine learning, deep learning, natural language processing, and computer vision. Specialized in developing scalable AI systems and ethical AI frameworks.

Sep 2019 – June 2023

Bachelor's in Mathematics and Applications

Ibn Tofail University

Strong foundation in mathematical modeling, statistics, linear algebra, and computational mathematics. Focus on applications in data science and algorithm development.

Professional Experience

Jun 2025 – Present

AI Agent Assistant

Mindrift • Freelance

Developing and optimizing AI agents for various applications, focusing on natural language understanding and multi-modal interactions. Implementing advanced prompt engineering techniques and fine-tuning language models for specific use cases.

Feb 2025 – July 2025

AI Expert

Université du Québec à Trois-Rivières • Full-time

Working with Professor Abdeslam Hassani and Professor Khaoula BOUKIR on developing and evaluating an AI-based methodological framework for automating systematic literature review (SLR) processes .

Aug 2024 – Feb 2025

AI Engineer

LifeLine Africa • Internship

Designed and implemented AI-powered healthcare solutions for African markets. Worked on medical image analysis, patient risk assessment models, and telemedicine platforms. Achieved significant improvements in diagnostic accuracy and patient outcomes.

Technical Expertise

🐍 Programming & Frameworks

Python C/C++ SQL TensorFlow PyTorch Scikit-Learn OpenCV Transformers

🤖 AI Agents & LLM Systems

LangChain LangGraph CrewAI AutoGen RAG Pipelines Prompt Engineering Fine-tuning

☁️ MLOps & Infrastructure

Docker Kubernetes AWS CI/CD MLflow Monitoring Model Deployment

🌐 Web & APIs

Flask Django FastAPI REST APIs Streamlit GraphQL

Featured Projects

Intelligent Fall Detection & Voice Assistant

Hybrid Computer Vision and NLP system with ensemble modeling achieving 98% accuracy in fall detection. Integrated voice commands for emergency response and real-time monitoring.

OpenCV TensorFlow NLP Ensemble Models Real-time Processing

Multi-Agent Financial Research System

CrewAI-powered trading advisory system with 5 specialized AI agents handling market analysis, risk assessment, and automated trading recommendations with real-time data processing.

CrewAI Multi-Agent Systems Financial APIs Real-time Analytics Risk Assessment

Enterprise Knowledge Assistant

Advanced RAG system with hybrid pipeline featuring multi-modal retrieval capabilities, achieving 35% improved accuracy in enterprise knowledge management and document processing.

RAG Pipeline LangChain Vector Databases Multi-modal AI Enterprise Search