Who is Jordi Jaspers?

Jordi Jaspers is a Lead Software & Applied AI Engineer and Consulting Manager at Ilionx, based in Maastricht, Netherlands. He has 7+ years of experience building enterprise software and AI solutions, leading teams of 15+ engineers.

What does Jordi Jaspers do?

Jordi is a lead engineer at Ilionx who builds enterprise-grade distributed systems and applied AI solutions. He specializes in LLM integration, RAG pipelines, multi-agent systems, and cloud-native architectures using Java/Spring Boot, Kotlin, TypeScript, and SvelteKit.

Where is Jordi Jaspers based?

Jordi Jaspers is based in Maastricht, Netherlands. He was born in Hasselt, Belgium.

What technologies does Jordi Jaspers specialize in?

Jordi specializes in Java/Spring Boot, Kotlin, TypeScript/SvelteKit, Kubernetes, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), multi-agent orchestration, enterprise architecture (TOGAF, ArchiMate), and distributed systems.

Career

Seven years of building enterprise systems, leading teams, and shipping AI — across telecom, pensions, and energy.

Years experience

since 2018

Years AI/ML

LLMs & RAG

30+

Projects delivered

20+

Enterprise solutions

Career

2018–2021

Junior Software Engineer

Ilionx

Java/Spring BootREST APIsCI/CD pipelinesFirst enterprise client exposure

2021–2024

Medior Software Engineer

Ilionx

Microservices architectureKubernetes & HelmDistributed systemsOAuth/OIDC integrationsObservability (OpenTelemetry, Prometheus, Grafana)

2024–Present

Lead Engineer, AI Engineer & Consulting Manager

Ilionx · VodafoneZiggo, APG, TenneT

Leading team of 15+ engineersLLM training & fine-tuningRAG pipelines & vector databasesMulti-agent orchestrationEnterprise AI governanceTOGAF & ArchiMate enterprise architectureHands-on full-stack delivery

Notable Enterprise Work

Selected projects under NDA — described at a high level.

NDA · Ilionx

AI Relay

Enterprise AI Gateway & Governance

Multi-tenant AI provider management platform enabling organizations to safely consume LLMs (OpenAI, Anthropic, local models) with centralized API key issuance, fine-grained team permissions, usage tracking, and cost governance. Provider-agnostic abstraction layer with rate limiting and audit logging — designed to scale horizontally for enterprise AI workloads.

NDA · Local Government

KirchroaGPT

Domain-Specific Local LLM

Custom-trained LLM preserving the Kirchroa dialect through OCR digitization of historical books, vector + relational hybrid RAG, and domain-specific prompt tuning. Built for a regional government to enable structured querying of cultural heritage. Deployed in containerized environment with full observability.

Internal

Multi-Agent Dev Platform

AI-Assisted Engineering

Multi-agent system orchestrating code generation, testing, documentation, and deployment for rapid POC/MVP delivery. Human-in-the-loop quality control with Ralph-loop optimizations. Drives a 5-10× productivity multiplier on greenfield builds.

Certifications

Continuously sharpening the toolkit.

TOGAF Foundation

Global Knowledge

ArchiMate Foundation

Global Knowledge

ArchiMate Practitioner

Global Knowledge

SvelteKit Certified Developer

Global Knowledge

Oracle Certified SQL Developer

Oracle

Oracle Database Design & Management

Coursera

Advanced Micronaut & Spring

Coursera

Machine Learning Basics

Coursera

Tech Stack

Polyglot by nature, AI-accelerated by choice.

Java
Spring
Kotlin
Python
PyTorch
HuggingFace
TensorFlow
LangChain
OpenAI
Go
Quarkus
Gradle
Maven

Svelte
TypeScript
JavaScript
React
Angular
Vue
Next.js
HTML
CSS
Tailwind
Bun
Node.js

Docker
Kubernetes
PostgreSQL
MariaDB
Redis
TimescaleDB
MongoDB
Elasticsearch
GitHub Actions
Cloudflare
Traefik
Grafana
Linux
Git

Want to work together?

Always open to interesting conversations about distributed systems, applied AI, and team leadership.

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