Summary
Kais Laribi is a senior data scientist and ML engineer with nine years of experience delivering production-grade, scalable AI solutions for marketing and product teams from Paris. He specializes in MLOps, time-series forecasting, marketing analytics (LTV, churn, MMM) and emerging GenAI/LLM workflows, repeatedly taking projects from POC to Kubernetes-backed deployments on cloud platforms. As a freelancer and former lead at agencies like Artefact and Unify Group, he combines hands-on engineering (CI/CD, Terraform, BigQuery, MLflow) with product-minded delivery and team mentoring. Recent work includes LLM red-teaming, RAG proof-of-concepts with Bedrock/langchain, and automating model-inference via SQL on GCP—demonstrating a focus on operationalizing models for analysts as well as engineers. He also serves as CTO for a healthcare SaaS, highlighting his ability to design secure, maintainable backends while mentoring small teams. Beyond client work, he shares practical MLOps and GenAI insights with the community through technical writing.
9 years of coding experience
5 years of employment as a software developer
MPSI-MP, MPSI-MP at IPEIT - Institut Préparatoire aux Etudes d'Ingénieurs de Tunis
M.Eng. Mathematics, computer science, economics, M.Eng. Mathematics, computer science, economics at Tunisia Polytechnic School
Master of Engineering - MEng, Informatique, Master of Engineering - MEng, Informatique at Centrale Lille
Arabic, French, English, German