Hi, I'm Hamza Hafdaoui, an AI Engineer passionate about developing production-grade large language model applications and multi-agent systems. I have hands-on experience in building enterprise conversational AI solutions and real-time retrieval-augmented generation systems. With a strong background in full-stack ML lifecycle and cloud deployment on Azure, I enjoy turning cutting-edge AI technologies into scalable products. I take pride in designing scalable data architectures, automating MLOps pipelines, and mentoring teams to implement model versioning and testing strategies. I'm excited to keep growing my expertise in LangChain, LangGraph, vector databases, and cloud-native AI tools to drive the next generation of AI innovations.

Hamza Hafdaoui

Hi, I'm Hamza Hafdaoui, an AI Engineer passionate about developing production-grade large language model applications and multi-agent systems. I have hands-on experience in building enterprise conversational AI solutions and real-time retrieval-augmented generation systems. With a strong background in full-stack ML lifecycle and cloud deployment on Azure, I enjoy turning cutting-edge AI technologies into scalable products. I take pride in designing scalable data architectures, automating MLOps pipelines, and mentoring teams to implement model versioning and testing strategies. I'm excited to keep growing my expertise in LangChain, LangGraph, vector databases, and cloud-native AI tools to drive the next generation of AI innovations.

Available to hire

Hi, I’m Hamza Hafdaoui, an AI Engineer passionate about developing production-grade large language model applications and multi-agent systems. I have hands-on experience in building enterprise conversational AI solutions and real-time retrieval-augmented generation systems. With a strong background in full-stack ML lifecycle and cloud deployment on Azure, I enjoy turning cutting-edge AI technologies into scalable products.

I take pride in designing scalable data architectures, automating MLOps pipelines, and mentoring teams to implement model versioning and testing strategies. I’m excited to keep growing my expertise in LangChain, LangGraph, vector databases, and cloud-native AI tools to drive the next generation of AI innovations.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

Arabic
Fluent
French
Advanced
English
Advanced

Work Experience

AI Engineer Intern - End of Studies Project at KLEOS Solutions - Digital Transformation & AI Consultancy
February 1, 2025 - Present
Architected a production multi-agent system using LangGraph and GPT-4o, achieving 93% autonomous booking success for golf reservations across more than 20 courses with over 500 beta users. Built an end-to-end MLOps pipeline with Azure DevOps CI/CD, implementing automated testing, staged deployments, and rollback strategies, achieving 99.9% uptime. Designed scalable data architecture with Azure SQL Database handling 10K+ daily transactions, optimizing indexing, partitioning, and caching strategies with Redis. Deployed containerized microservices on Azure App Service with Docker, including health checks, auto-scaling policies, and achieved sub-200ms API latency. Integrated comprehensive monitoring using LangSmith and Azure Application Insights to track agent performance metrics, user interactions, and enable data-driven prompt optimization.
Generative AI Intern at ALEXSYS Solutions - AI & Digital Transformation Consultancy
October 31, 2024 - July 23, 2025
Engineered real-time RAG system with Qdrant vector database processing over 50K financial documents, achieving 40% improvement in trading insights accuracy and sub-500ms query latency. Automated daily web scraping pipelines using Scrapy and Selenium with cron jobs, processing Casablanca Stock Exchange data with 99.5% reliability and automatic error recovery. Deployed production system on Azure App Service with comprehensive CI/CD pipeline including unit tests, integration tests, and blue-green deployment strategy. Implemented evaluation framework measuring precision@k, recall@k, MRR, and business KPIs leading to iterative improvements and 25% boost in model performance. Spearheaded project MLOps strategy, mentoring 2 members on model versioning, A/B testing, and automated retraining pipelines.
Computer Scientist at GM Solution - IT Services
November 30, 2023 - July 23, 2025
Engineered robust automated data extraction pipelines using Scrapy and Selenium, processing diverse data from multiple web sources with high accuracy and reliability. Developed and integrated RESTful APIs enabling seamless data exchange between critical application components and third-party services. Contributed to full software development lifecycle from planning and development to deployment and maintenance, ensuring timely feature delivery. Performed systematic debugging and root cause analysis improving application stability and performance.

Education

Master of Science at Faculty of Sciences and Techniques, Tangier
September 1, 2023 - July 31, 2025
Bachelor of Engineering at Faculty of Sciences and Techniques, Tangier
September 1, 2022 - June 30, 2023

Qualifications

Neural Networks and Deep Learning - DeepLearning.AI, Coursera
January 1, 2023 - December 31, 2023
Supervised Machine Learning: Regression and Classification - Stanford University, Coursera
January 1, 2023 - December 31, 2023

Industry Experience

Computers & Electronics