AI Engineer
Building AI solutions from research to production.
I build AI systems that go from idea to production: RAG, fine-tuning, knowledge graphs, and full-stack. I work at Jurimesh, where I own end-to-end delivery of AI solutions for complex document workflows.
MSc in Computer Science Engineering from Ghent University, graduated with distinction. My research was presented at NASA JPL’s onto Nexus Forum.
Python · TypeScript · React · PyTorch · PostgreSQL · Redis · GCP
Contract Comparison Tool: Led research and development of a multi-stage engine for high-risk change identification. LLM analysis for bulk comparison and granular paragraph-level review.
Multilingual Clause Classifier: Fine-tuned models, GCP deployment, domain adaptation.
Production chunking, knowledge graphs, RAG pipelines. Full-stack across React, Fastify, Redis, PostgreSQL.
Time-series analysis, forecasting, and change point detection for emerging skills in vacancy data.
Developed Java-based software solutions; gained exposure to software engineering best practices.
HR application with adversarial role-playing voice agent for conversation preparation.
Interactive reporting framework for Model-Based Systems Engineering using Natural Language Question Answering on knowledge graphs and ontologies.