03/30/2026 updated

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Lead AI Engineer & Data Scientist

Brussels, Belgium
Worldwide
Engineer Degree in Telecommunications and Information Technologies
Brussels, Belgium
Worldwide
Engineer Degree in Telecommunications and Information Technologies

Profile attachments

Rezume_bruxelles.pdf

About me

I’m an AI Engineer and technical leader with 7 years of experience delivering projects across machine learning, data science, and AI. Throughout my career, I have helped companies integrate AI into their existing workflows and transform ideas into practical, high-value solutions.

Artificial IntelligenceApache AirflowAmazon Web ServicesAmazon S3Data AnalysisComputer VisionAutomationBusiness IntelligenceBig DataCloud ComputingDatabasesData VisualizationDevOpsText EditingAmazon DynamoDBForecastingApache HadoopApache HBasePython (Programming Language)PostgreSQLMachine LearningMongoDBMySQLNatural Language ProcessingPredictive AnalyticsTensorFlowSentiment AnalysisComputational StatisticsStatisticsSalesforce TableauTime SeriesData ProcessingGoogle CloudData Storage TechnologiesChatbotsPyTorchLarge Language ModelsMulti-Agent SystemsApache SparkDeep LearningGenerative AIAWS LambdaInfrastructure as Code (IaC)KerasEvent Driven ArchitectureScikit LearnKubernetesAWS GlueData AnalyticsPlotlyMachine Learning OperationsGPTDatabase AdministrationDockerAmazon RedshiftProgramming Languages
Machine Learning & Deep Learning
Advanced expertise in designing and implementing ML/DL solutions using Scikit-learn, TensorFlow, Keras, and PyTorch for enterprise-grade applications

Cloud Computing & MLOps
Comprehensive experience with AWS services including Machine Learning, Data Analytics, Redshift, and deployment using Docker, Kubernetes, MLflow, and Apache Airflow

Generative AI & LLM Development
Specialized knowledge in building conversational AI solutions, RAG systems, and LLM-based applications using Google Cloud Dialogflow, Vertex AI, and OpenAI GPT technologies

Programming Languages
Proficient in Python and R for data analysis, machine learning model development, and statistical computing

Data Visualization
Skilled in creating comprehensive data visualizations using Tableau, Plotly, ggplot, and Shiny for business intelligence

Database Management
Experience with multiple database systems including PostgreSQL, MySQL, Hbase, DynamoDB, and MongoDB for data storage and retrieval

Big Data Technologies
Hands-on experience with Hadoop, Spark, S3, AWS Redshift, AWS Glue, and AWS Lambda for large-scale data processing

Natural Language Processing
Expertise in NLP and Computer Vision tools for text processing, sentiment analysis, and automated content understanding

Time Series Analysis
Advanced knowledge in statistical methods including ARIMA, Prophet, and custom forecasting models for predictive analytics

Experience

Professional experience5 - 10 years
Freelancer since2021

Languages

EnglishFluent

Project history

Lead AI Engineer

Proximus
Lead the design, development, and maintenance of the Proximus Digital Assistant Bot, building conversational AI solutions and implementing RAG systems for intelligent customer interactions

Data Scientist - Generative AI

IBM
Developing a generative AI-based application that leverages OpenAI GPT capabilities for natural language understanding to address business challenges concerning data received from clients

Lead AI Engineer

Zazmic
Design and implement enterprise-grade AI solutions leveraging machine learning and generative AI technologies, building multi-agent AI systems using LangChain and LangGraph

Data Scientist - Generative AI

IBM
Developing and deploying advanced large language model based forecasting solutions for key performance indicators in the cosmetic products industry using Google Cloud Platform Vertex AI

Data Scientist - Generative AI

IBM
Implementing a vision AI with NLP and Computer Vision tools for automating and optimizing the reconciliation process for legal filings by extracting labels from product packaging

Data Scientist - ML Engineer

IBM
Develop and deploy a sales forecasting system for Nespresso products following the CRISP-DM methodology, leveraging Azure Delta Lake and Databricks platforms

Data Engineer

IBM
Ensure the maintenance and proper functioning of APIs created using Python, Lambda functions and API Gateway and the data ingestion pipeline using AWS services

Data Scientist - ML Engineer

IBM
Implementing from scratch a service that optimizes the recommendation of offers based on items expiry dates, creating Rest API using Flask and implementing continuous training using MLflow and Apache Airflow

Data Scientist - ML Engineer

IBM
Migrating existing Proof of Technology for optimal chemical ratio recommendation to minimize production costs while satisfying paper quality needs, creating branching system and unit testing

Data Scientist

Sopra Steria
Development of algorithms to process and analyze massive amounts of data for large financial institutions using Python, Spark, Tensorflow, Scikit-learn for time series analysis and forecasting

Data Scientist Intern

OCP
Improving the quality of fertilizers through prediction of over-titration using LGBM and XGBOOST models and optimization of operating parameters to reduce over-titration using Genetic Algorithms

Data Scientist Intern

Peacock Financials
Creation of an online automated investment advisory platform, allowing automated portfolio asset management applying machine learning algorithms and time series analysis

Portfolio

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