08/10/2026 updated

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Senior AI Engineer & Freelance Data Scientist

brussels, Belgium
Worldwide
Doctor of Engineering in Computer Science, University of Leuven (2007-2012)
brussels, Belgium
Worldwide
Doctor of Engineering in Computer Science, University of Leuven (2007-2012)

Profile attachments

cv.pdf

Application Programming Interfaces (APIs)Artificial IntelligenceAlgorithm DesignData AnalysisCloud EngineeringComputational Science and EngineeringData ArchitectureLinuxData IntelligencePython (Programming Language)Machine LearningTensorFlowAzure Machine LearningDatabase EnginesComputer Aided Engineering (CAE)Feature EngineeringData SciencePrompt EngineeringGenerative AIBackendDatabricks
AI and LLM Engineering
Expertise in Retrieval-Augmented Generation, LLM applications, generative AI, semantic and hybrid search, embeddings, vector databases, document understanding, prompt engineering, evaluation, ranking, chunking, agentic workflows, and LangChain.

Backend and Application Development
Proficiency in Python, FastAPI, REST APIs, PostgreSQL, SQL, HTMX, JavaScript, and production application integration for building robust backend systems.

Cloud and Data Platforms
Hands-on experience with Azure OpenAI, Azure, Azure Functions, Azure Storage, Azure Machine Learning, AWS, GCP, Databricks, Delta Lake, dbt, ETL processes, and data modelling.

Machine Learning
Strong background in NLP, Named Entity Recognition, transformers, classification, forecasting, recommender systems, customer segmentation, computer vision, and data analysis.

Deployment and Engineering
Solid knowledge of Docker, Linux, CI/CD, Git, cloud security, monitoring, workflow automation, and Kubernetes familiarity for deploying and maintaining production systems.

Data Engineering and ETL
Experience designing and building data pipelines, data warehouse and lake applications, ETL workflows, and managing databases across AWS, Databricks, and other platforms.

Computer Vision
Development of computer vision systems for object detection, plant disease classification, quality control, and image-based fault detection using TensorFlow, Keras, OpenCV, and Python.

Recommender Systems and Optimisation
Design of recommender systems, user segmentation, graph-based collaborative filtering, and genetic route optimisation algorithms implemented in Python.

Delivery and Stakeholder Management
Skilled in stakeholder management, requirements gathering, Agile delivery, Jira, translating business processes into system requirements, and client-facing consultancy.

Languages

EnglishFluentFrenchBasic knowledgeDutchNative speakerPortugueseBasic knowledge

Project history

AI Engineering

Pecco
Designed and developed a greenfield AI-assisted compliance platform for AML, quality-management, regulatory review, data collection, and financial-reporting workflows. Built agentic document-analysis workflows, structured RAG pipelines, reviewer-in-the-loop interfaces using FastAPI and HTMX, ingestion and processing pipelines for PDFs and databases, traceable mappings between source documents and generated reports, and deployed the solution on-premise.

AI Recruiter

Exsolvae / Koomple
Development of an AI recruitment screening app. AI and full-stack development using LLMs, OpenAI, LangChain, prompt engineering, vector databases and embeddings, RAG, Python, FastAPI, HTMX, JS, PostgreSQL, and Docker. Outcome: successful POC.

Sentiment Analyses

Datylon
Sentiment analysis and user segmentation. Data visualisation and dashboards using Python/Dash. Outcome: custom analysis dashboard.

Data Science and Lead AI Engineering

Delhaize AD
Sole AI engineer and data scientist on an internal innovation track. Took an LLM proof of concept into production using Azure OpenAI, FastAPI, and Databricks. Designed GenAI solutions for product-image analysis, ingredient extraction, ESG reporting, customer-request classification, and automated product-description generation. Built retrieval and embedding-based components, agentic and decision-support workflows, and machine-learning solutions for forecasting, churn, and segmentation.

Chatbot Development

IntegralAgility
Development of an LLM chatbot for a coaching app. AI and full-stack development using LLMs, OpenAI, LangChain, RAG architecture, prompt engineering, vector databases and embeddings, Python, FastAPI, HTMX, JS, PostgreSQL, and Docker.

Data Science / Engineering

Flemish Gov. / HFB
Data pipelines and data warehouse/lake applications on AWS for the Flemish Government. Handled multiple projects from planning to building, managed AWS cloud security, focused on ETL, processing, analyses, reporting, predictive modelling of building occupancy and sales, and development of multiple API interfaces.

NLP R&D

Antwerp Police
Development of a custom speech-to-text system for automated transcription using deep learning, TensorFlow/Keras, PyTorch, Python, Linux, pandas, NumPy, Jupyter, and Bokeh. Outcome: proof-of-concept model.

Computer Vision

Planticus
Computer vision for plant disease detection and classification using Python, TensorFlow, Keras, deep learning CNN, and Flutter. Outcome: state-of-the-art vision model optimised for mobile usage and integrated into a Flutter app.

Optimisation

Datylon / Electrotest
Data analyses, simulation, and genetic route optimisation for a distributor and a service provider. Two similar projects: optimising product distribution between production and storage facilities, and planning assignment and routing of a fleet of electrical installation certifiers. Tech: custom genetic algorithm in Python.

NLP R&D

Wolters Kluwer
NLP research. Development of a grapheme2phoneme system, audio phonetic embeddings, phonetic distances, Named Entity Recognition, Transformers, and LLMs using deep learning, TensorFlow/Keras/HuggingFace/BERT, Python, Linux, pandas, NumPy, Bokeh, and Jupyter. Outcome: multiple AI models.

Data Engineering

Proximus / Datylon
Big data back-end for cell-phone data geospatial analysis and predictions, processing millions of records a day. Tech: Python, PySpark, Shapely, Geopandas, Databricks, Hadoop, C++, Docker, Linux, Jupyter Notebooks. Outcome: methodology for user/activity segmentation, automated analysis pipeline in PySpark, realtime crowd monitoring pipeline, and custom probabilistic HyperLogLog database engine.

IoT

Digipolis
Big data/IoT streaming pipeline for sensor monitoring using NiFi, Kafka, and Spark Streaming.

R&D Industrial Applications

Flanders Make
Development of an autonomous vehicle including virtual world representation, sensor fusion, computer vision, path-following and path-planning algorithms. Novel scheduling algorithm for robot tasks in an industrial plant. Time series forecasting for compressor load. Tech: Python, pandas, scikit-learn, C++, ROS, OpenCV, graph analyses.

Recommender System

TicketMatic
Design of recommender systems and user segmentation using Python, pandas, Jupyter, Bokeh, scikit-learn, non-negative matrix factorisation, graph analyses, and clustering algorithms. Outcome: user segmentation analysis reports and standalone recommender micro-service integrated in the newsletter system and ticket sale platform.

Project Engineer

Flanders Make
Fulfilled the role of data scientist, applying domain knowledge to select, adapt, or develop new machine learning solutions. Developed solutions including computer vision for quality control and object detection, predictive maintenance, pattern mining for log files, and user profiling and classification.

Researcher Machine Learning

University of Leuven
PhD research on recommender systems (graph-based collaborative filtering), multi-target predictive algorithms, and processor performance prediction. Published and presented results at international conferences. Teaching assistant for a database course for 4 years.

Network Administrator / Web Developer

Various
Part-time student jobs ranging from network management to web development during studies.

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