Experienced software, data, and AI professional. One professional, end-to-end capability—architecture, development, testing, deployment, process, and AI automation.
From ASML metrology and Philips Healthcare to CART-Tech and Nemo Healthcare—20+ years across high-tech, healthcare, and finance. Read the full value proposition.
Open to freelance and employed opportunities—near Den Bosch, remote, or hybrid. Preference for Healthcare, Finance, Energy, High-Tech.
This repo hosts a unified skills library for Cursor, Claude, and Codex: arc42-aligned workflows from ideation to deployment. Includes agent rules, skills, and workflow definitions. See skills/SKILL_TREE.md for the full index.
On-premise RAG for semantic search on your documents. Vector embeddings, semantic search, and LLM capabilities—all data stays on-premises. Built for healthcare, finance, and legal where data sovereignty matters.
Status: 🟢 Active Development
Natural conversation over gamification. Adaptive AI tutor with real-time grammar and vocabulary support. Electron, FastAPI, Whisper, Claude. Spanish, Italian, German, French, Dutch—CEFR A1–C2.
Repository: github.com/pkuppens/babblr · License: AGPL-3.0 · Status: 🟢 Active Development
Software development at ASML (EUV metrology, source positioning), Philips Healthcare (3D ablation visualization), ABN AMRO (mortgage, security), and Mapscape (GIS/navigation). Recent AI work: Deep Learning for cardiac tissue segmentation at CART-Tech (pacemaker lead placement); migration to AWS for model scalability. JIRA/Confluence workflows for medical device (Nemo Healthcare). AI anomaly detection for financial transactions. Medication decision rules and hospital data integration (Isatis, Nemo).
- Eindhoven University of Technology — MSc in Mathematics; PDEng in ICT (Information & Communication)
- AWS Cloud Practitioner
- Microsoft Professional Program in Data Science (2017–2018)
- Several AI/ML trainings
- Ongoing learning via PluralSight, DataCamp, etc.
- AI and data: Deep Learning, LLMs, ML, agentic systems
- (Backend) software engineering in Python on related tasks (AI is 80% software/data engineering anyway)
- Healthcare, finance, energy, high-tech
- Technical collaboration and continuous improvement
Explore my repositories—and connect on LinkedIn or pieterkuppens.net to discuss opportunities.