dev.jeroenveen.nl
Jeroen Veen
AI/ML Engineer & Researcher
I build production AI systems — from synthetic media pipelines and ML-scored news intelligence to AI-augmented engineering workflows. PhD (TU/e), Philips Research, HAN University.
What I've Built
Synthetic Podcast Production
30 synthetic voices, multilingual TTS pipeline, 300+ plays/episode. Full methodology from research to mastered audio.
DemoWorking with AI Agents
Methodology for AI-augmented software development. Tested across 100+ sessions with measurable productivity gains.
GitHubovr.news — Intelligence Pipeline
1500+ RSS feeds, GPU-scored ML filtering, automated publishing. Curated news intelligence updated every 15 minutes.
Livevmodel.eu — Requirements Review
AI-powered V-model validation for engineering documents. Automated traceability checks across specifications.
Liveese-bot — Chat with Your Docs
EU-compliant RAG system for querying academic documents with natural language. Local embeddings, GDPR-safe chat logging, Dockerized.
LiveAegis — Portfolio Risk Early Warning
Four-layer macro risk monitor with live dashboard. Backtested against every major crisis since 2000, automated daily updates.
LiveAbout
Engineering researcher at HAN University of Applied Sciences, working across AI/ML, biomedical engineering, embedded systems, and energy systems. My research spans rapid antibiotic susceptibility testing, point-of-care diagnostics, computer vision for Parkinson biomarkers, and AI-augmented engineering education.
Previously at Philips Research. PhD from Eindhoven University of Technology (TU/e). Patent holder. I care about building systems that work in production, not just in notebooks.