Production before presentation
Latency, reliability and integration are architectural responsibilities.
Senior Applied AI Engineer
I build production AI systems, local inference runtimes and enterprise software.

Selected systems
Five implemented systems, ordered from recent applied AI work through enterprise foundations.

Intelligence at the point of transport decisions.

Recruiting workflows across modern and legacy platforms.
Inside the work
A delivery lineage from enterprise platforms to local inference and agentic systems. Every milestone is grounded in the supplied CV.
Latency, reliability and integration are architectural responsibilities.
Repeatable tests, regression evidence and traceable sources.
From system design and implementation through delivery and operation.
Experience
Led architecture and hands-on implementation of Lizard-LLM and SonicMind Connect during a contract engagement.
Java services, enterprise integration, Hybrid Search and RAG for transport guidance workflows.
Matchbox Neo, Matchbox Legacy and 3 Story Software. Angular, Spring Boot and connected recruiting workflows.
FlexProd and SKS-ES: broadband provisioning, diagnostics, Java services and production stabilization.
Java EE and Spring MVC modules for ERP and CRM operations.
CRM and CMS modernization; this contract overlapped with subsequent full-time roles.
Education
GFN Mannheim, 2022 · Computer Science Expert in Software Development · DQR/EQF 4
IB Mannheim, 1998 · Mechatronics, Systems Engineering & Robotics · DQR/EQF 4
2019–2022: career transition, structured training and completion of the software-development qualification.
Enterprise discipline. Applied AI curiosity.
More about me