Harness the Power of AI: Transforming Ideas into Innovation

Freelance AI Expert & Architect — 15+ years in academia and industry

Who am I?

Stijn Geuens, operating under the legal entity Recommendit, is a highly skilled freelance AI expert and architect with over 15 years of experience in both academia and industry. His extensive background spans various sectors, where he has developed a deep expertise in creating AI-driven solutions.

Stijn specializes in overseeing the complete lifecycle of AI application development, from initial design through data engineering, model development, and deployment of production-ready systems. His experience covers a broad range of industries such as marketing, retail, online sales, automotive, pharmaceuticals, supply chain, and public services, showcasing his versatility in applying AI to diverse domains.

This broad expertise allows Stijn to tailor AI solutions to specific business needs, leveraging his deep knowledge of machine learning and artificial intelligence to help organizations enhance operational efficiency, boost customer engagement, and drive innovation.

Stijn Geuens

Employment Experience

Education

Publications

Geuens, S., De Bock, K.W. and Coussement, K., 2018, Beyond clickthrough rate: measuring the true impact of personalized e-mail product recommendations. Proc. Business Analytics for Finance and Industry (BAFI) Conference 2018, Santiago, Chile.

Geuens, S., Coussement, K. and De Bock, K.W., 2016, Towards better online personalization: a framework for empirical evaluation and real-life validation of hybrid recommendation systems, Proc. World Marketing Congress of the Academy of Marketing Science, Paris, France.

Geuens, S., Coussement, K. and De Bock, K.W., 2015, An Evaluation Framework for Collaborative Filtering on Purchase Information in Recommendation Systems, 2nd Conference on Business Analytics in Finance and Industry (BAFI), Santiago, Chile.

Geuens, S., Coussement, K. and De Bock, K.W., 2015, Integrating Behavioral, Product, and Customer Data in Hybrid Recommendation Systems Based on Factorization Machines, 2nd Conference on Business Analytics in Finance and Industry (BAFI), Santiago, Chile.

Geuens S, 2015, I Know What You'll Buy Next Summer, presented at the BAQMaR Conference, Ghent, Belgium

Geuens S., 2015, Recommendation Systems for E-commerce, Evaluating Collaborative Filtering in a Binary Setting, presented at the Marketing Research Seminar IESEG School of Management, Lille, France

Geuens, S., Coussement, K. and De Bock, K.W., 2014, Evaluating Collaborative Filtering: Methods within a Binary Purchase Setting. ECML/PKDD Conference, Nancy, France.

Analytical Skills

Recommender systems
Predictive analytics
Forecasting
LLM
Image Recognition
AI agents
Streaming
(Py)Spark
Python
R
SQL
SAS
AWS
Microsoft Azure
GCP
Tensorflow
Keras
Pytorch
ElasticSearch
Object storage
Dynamo DB
MongoDB
SQL-like
Big Query
Vector databases
API (FastAPI)
Airflow
Databricks
Docker
GIT
Bitbucket / Github
Kubernetes
Jenkins
Terraform / Helm
SageMaker
MLFlow
Argo / Argo CD
Kafka
MS Office
Domains
Programming Languages
Cloud
Deep Learning
Databases
Platforms/Tools

Contact

Recommendit AI Agent
AI-powered · Gemini

Hi! I'm the Recommendit AI agent. Ask me anything about Stijn Geuens, his experience, skills, or Recommendit.