I bridge the gap between deterministic process automation and autonomous AI execution. My focus is on engineering scalable architectures for highly regulated industries where data sovereignty, auditable compliance, and scalability are non-negotiable requirements.
- Top Skills: Spring Boot | Kubernetes (OpenShift) | Camunda 8 (Zeebe, BPMN 2.0, DMN).
- Engineering & AI: Java | Python | Agentic AI & Local LLMs in governed workflows (ACM 2.0) | CI/CD (Tekton, GitHub Actions).
- Infrastructure & GitOps: Infrastructure as Code (IaC via Terraform) | Helm Charts | ArgoCD | Linux | AWS.
- Observability & Compliance: IT Observability (Grafana) | Compliance as Code / Compliance Automation (DORA).
- Frontend & UI: Google Web Toolkit (GWT) | Client/Server communication architectures | JavaScript foundation.
- Methodology & Leadership: Kanban | Trained ~150 colleagues in BPMN/DMN & ~20 in Java process development.
For a detailed list of earned skills, please visit my badges on Credly:
For professional history and career details, please visit my professional profiles:
- While my primary engineering output remains confidential within corporate repositories, this public space showcases a curated, modular portfolio that demonstrates a full-stack engineering approach.
- Here, my projects apply my experience with complex, large-scale enterprise landscapes within a more innovative context, specifically designed to run on my own sovereign hardware.
- Additionally, I document organizational patterns I have observed and developed.
- Built entirely from scratch, my repos serve as sandboxed environments for technology validation and clear communication with stakeholders.
- Compute: Dedicated Desktop (64 GB RAM, 16 GB VRAM GPU), Jetson Orin Nano (8 GB combined RAM/GPU), Raspberry Pi (8 GB RAM).
- AI Stack: LM-Studio with Qwen3-Coder | IntelliJ + Continue Plugin.
