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kj-hilger/README.md

Hi, I'm KJ πŸ‘‹

Java Backend Developer | DevOps Engineer | Camunda Agentic Orchestration | Remote-First | Inhouse

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.


πŸš€ Core Competencies & Tech Stack

  • 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.

πŸŽ“ Verified Credentials

For a detailed list of earned skills, please visit my badges on Credly:

Linux Essentials Terraform Associate Camunda Associate Camunda Professional


πŸ”— Connect with me

For professional history and career details, please visit my professional profiles:

Β 


πŸ’‘ Portfolio Philosophy & Scope

  • 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.

πŸ› οΈ Private Lab Setup

  • 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.

Pinned Loading

  1. change-automation-core change-automation-core Public

    πŸ† Winner of the 2024 DevOps Challenge (Delivery Velocity) for a leading Financial Institution. Enterprise-grade tool for VAIT/DORA-compliant change management in agile Teams. Automates ITSM Change …

  2. sovereign-agentic-orchestration-stack sovereign-agentic-orchestration-stack Public

    Enterprise-grade Agentic Orchestration Stack integrating Camunda 8, local LLMs (Ollama), and Keycloak. Fully automated via GitOps (ArgoCD) for secure, sovereign, and compliant deployments.

  3. spring-boot-ai-rag spring-boot-ai-rag Public

    The spring-boot-ai-rag repository is a blueprint for a stateless Java REST service. It demonstrates how to bridge the gap between enterprise security standards, local Large Language Models (LLMs), …