About Youssef
I am an AI Engineer and technical leader with a journey built through continuous growth, real-world delivery. Over the years, I have evolved from a data scientist focused on analysis and modeling into a professional capable of contributing across the full lifecycle of AI and data-driven solutions, from experimentation to architecture, engineering, industrialization, and production delivery.
My experience across multiple industries and projects has given me a broad and practical understanding of what it takes to turn technology into business value. I have worked on machine learning, generative AI, conversational AI, MLOps, cloud architecture, APIs, data pipelines, and production systems, always with the same mindset: build solutions that are technically strong, scalable, and truly useful.
What defines me today is not only technical breadth, but also the mindset I bring to complex environments. I know how to lead, how to structure, how to adapt, and how to move projects forward with both ownership and clarity. I am comfortable operating at the intersection of technical depth, system thinking, and business needs.
I do not believe technical excellence comes from staying in a narrow specialization. It comes from understanding how all the parts of a system work together, from being able to learn quickly, and from having the discipline to transform ideas into reliable execution. That is the path I have followed throughout my career, and it is what allows me today to bring both leadership and technical mastery to the projects and teams I work with.
English
Native or bilingual
French
Fluent
Can work on-site
Bruxelles (up to 50km), Anvers (up to 50km), Liège (up to 50km), Bruges (up to 50km), Lille (up to 50km)
Experience
- ProximusLead AI EngineerTELECOMMUNICATIONSApril 2025 - Today (1 year and 2 months)Brussels, Belgium• • Lead the design, development, and maintenance of the Proximus DigitalAssistant Bot, enabling intelligent customer interactions and support.• • Build conversational AI solutions using Google Cloud Dialogflow, VertexAI, LangGraph, and Python, ensuring scalable and reliable performance.• • Design and implement Retrieval-Augmented Generation (RAG) systems to enrich the assistant's knowledge by securely leveraging Proximus internal databases and enterprise data sources.• • Integrate the assistant with externalAPIs and internal data platforms to deliver real-time, contextual, and personalized responses for Proximus clients.• • Apply generativeAI techniques and advanced dialogue management to improve intent understanding, response accuracy, and issue resolution.• • Collaborate with cross-functional teams to align AI capabilities with business objectives, driving measurable improvements in customer experience.• • Implement monitoring, testing, and continuous improvement practices to ensure high availability, performance, and response quality.
- ZazmicLead AI EngineerAugust 2024 - April 2025 (8 months)Remote, OR, USA• • Design and implement enterprise-grade AI solutions leveraging machine learning and generativeAI technologies across diverse industries.• • Engage with clients to gather requirements, run AI discovery workshops, and define end-to-end solution architectures tailored to business needs.• • Design and build Retrieval-Augmented Generation (RAG) systems using GoogleVector Search, enabling grounded and up-to-date responses from enterprise data sources.• • Build and orchestrate multi-agentAI systems using LangChain and LangGraph to handle complex workflows, reasoning, and task delegation.• • Deploy and operate multi-agentAI systems on Google Cloud using Kubernetes, ensuring scalability, fault tolerance, and high availability.• • Use VertexAI, Google Cloud Storage, AutoML, Dialogflow, prompt engineering, and vector databases to build production-ready AI applications.• • Architect and deploy AI services using Cloud Run, Pub/Sub, Cloud Build, and GKE for scalable and event-driven architectures.• • Conduct regular client meetings to present progress, resolve technical challenges, and iteratively refine AI solutions.
- L'Oréal SA - L'Oréal FranceData Scientist - Generative AI (IBM)FASHION AND COSMETICSOctober 2023 - February 2024 (4 months)FranceDeveloping and deploying advanced large language model (LLM) based forecasting solutions for key performance indicators in the cosmetic products industry. using Google Cloud Platform's VertexAI to create scalable and efficient forecasting models. Key Responsibilities:• • Design and implement LLM-based time series forecasting models tailored to cosmetic product indicators.• • Use Python and PyTorch for model development and GCP Vertex AI for deployment and management.• • Define and recommend optimal architectural solutions for time series forecasting using LLMs.• • Collaborate with cross-functional teams to integrate forecasting solutions into existing systems.• • Continuously monitor and improve model performance for accuracy and efficiency.
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Education
- Engineer Degree in Telecommunications andNational Institute of Posts and Telecommunications2019Engineer Degree in Telecommunications and
- Bachelor 's DegreeOmar ibn al Khattab2016Bachelor 's Degree