I am an AI Engineer specializing in knowledge representation, data modeling, semantic integration, and generative AI. I have built and deployed RAG systems, multi-agent architectures, MCP servers, data pipelines, and cloud infrastructure, with experience across enterprise, research, and consulting environments. My work has delivered measurable results, including faster ticket resolution, improved user satisfaction, and highly accurate AI decision-making systems. I enjoy turning complex, unstructured information into reliable schemas, intelligent workflows, and practical products. With a background in artificial intelligence, computer engineering, information systems, and big data, I bring a hands-on approach to Python development, machine learning, cloud engineering, and full-stack applications. I am seeking a full-time opportunity starting in October 2026 where I can contribute to impactful AI and data-driven solutions.

Ali AMZYL

I am an AI Engineer specializing in knowledge representation, data modeling, semantic integration, and generative AI. I have built and deployed RAG systems, multi-agent architectures, MCP servers, data pipelines, and cloud infrastructure, with experience across enterprise, research, and consulting environments. My work has delivered measurable results, including faster ticket resolution, improved user satisfaction, and highly accurate AI decision-making systems. I enjoy turning complex, unstructured information into reliable schemas, intelligent workflows, and practical products. With a background in artificial intelligence, computer engineering, information systems, and big data, I bring a hands-on approach to Python development, machine learning, cloud engineering, and full-stack applications. I am seeking a full-time opportunity starting in October 2026 where I can contribute to impactful AI and data-driven solutions.

Available to hire

I am an AI Engineer specializing in knowledge representation, data modeling, semantic integration, and generative AI. I have built and deployed RAG systems, multi-agent architectures, MCP servers, data pipelines, and cloud infrastructure, with experience across enterprise, research, and consulting environments. My work has delivered measurable results, including faster ticket resolution, improved user satisfaction, and highly accurate AI decision-making systems.

I enjoy turning complex, unstructured information into reliable schemas, intelligent workflows, and practical products. With a background in artificial intelligence, computer engineering, information systems, and big data, I bring a hands-on approach to Python development, machine learning, cloud engineering, and full-stack applications. I am seeking a full-time opportunity starting in October 2026 where I can contribute to impactful AI and data-driven solutions.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
See more

Language

English
Advanced
French
Fluent

Work Experience

AI Engineer - GenAI & MLOps at VEOLIA
September 1, 2025 - October 1, 2026
Designed a multi-agent AI system using TinyTroupe for automated ticket resolution, applying knowledge representation to synthesize codebase logic and reduce resolution time by 75%. Engineered an MCP server that enabled AI agents to query structured billing and log data with GCP integration. Designed schemas and modeled enterprise data in BigQuery and Firestore to support AI retrieval and automated workflows. Deployed Vertex AI, Cloud Functions, and BigQuery infrastructure through Terraform and CI/CD pipelines.
AI Engineer Researcher Intern at LAAS-CNRS
February 1, 2025 - July 1, 2025
Built a multi-tool agentic system integrating DNS and visual-analysis data for AI decision-making, achieving 99% accuracy. Developed taxonomies and semantic models to classify phishing data and cross-reference datasets for improved knowledge extraction. Engineered Kedro data pipelines for data collection, cleaning, and synthetic data generation using fine-tuned LLMs with LoRA.
AI Engineer & Data Scientist Intern at ADOA Consulting
July 1, 2024 - September 1, 2024
Deployed a production-grade Gemini-based RAG system, transforming raw data into structured schemas for AI retrieval and improving user satisfaction by 30%. Built a full-stack analytics dashboard with React and Node.js, integrating MongoDB data to support real-time KPI tracking.
AI Engineer Intern at SYGMA.AI
May 1, 2024 - June 1, 2024
Developed and deployed a computer vision pipeline for automated document extraction, using edge AI models to improve operational efficiency by 45%.

Education

Master 2 in Management of Information Systems and Knowledge Management - Big Data at Paris 1 Panthéon-Sorbonne University
September 1, 2025 - October 1, 2026
Engineering Degree in Artificial Intelligence and Computer Engineering at Arts et Métiers
September 1, 2020 - September 1, 2025

Qualifications

IBM Data Science Professional
January 11, 2030 - September 1, 2026
Professional Data Scientist
January 11, 2030 - September 1, 2026

Industry Experience

Computers & Electronics, Software & Internet, Professional Services, Energy & Utilities, Education