🇳🇱 Lees dit in het Nederlands — LEESMIJ.md
Experienced software, data, and AI professional. One professional, end-to-end—architecture, development, testing, deployment, process, and AI automation.
Why / what / how — I make AI solutions production-ready in regulated environments, where data must not leave the organization. From architecture and Python engineering to testing, CI/CD, and on-prem/Kubernetes deployment: one professional for the full chain. 20+ years across high-tech (ASML), healthcare (Philips Healthcare, Nemo Healthcare, CART-Tech), and finance (ABN AMRO).
Signature skills — AI systems: deep learning · NLP · agents · on-prem RAG & LLM systems · MLOps & data pipelines · Python backend engineering (FastAPI) · data processing · air-gapped / on-prem deployment (Docker, Kubernetes) · test & quality discipline.
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Availability on request—near Den Bosch, remote, or hybrid. Sector focus: Healthcare, Finance, Energy, High-Tech. Contract type negotiable.
On-premise RAG for semantic search on your documents. Vector embeddings, semantic search, and LLM capabilities—all data stays on-premises (on-prem, air-gapped, GDPR-friendly). 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
A unified skills library for Cursor, Claude, and Codex—arc42-aligned workflows from ideation to deployment. 16 top-level skills and 60+ battle-tested sub-skills, validated in CI. Browse the SKILL_TREE.md index.
This repo follows a platform-agnostic development workflow documented in docs/workflow/README.md. Platform-specific details reference it as the canonical source of truth:
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—primarily Python, also C#/.NET, C++, and SQL (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.