REST API Experts in Stuttgart

• Consulting, design, analysis, software architecture and development
• Design, development and implementation of a Pimcore environment and connection of several external API systems in a Kubernetes environment, as well as various PIM and ERP systems
• Technologies: Unix environment, design, Symfony development, design, PHP 8+, software architecture, MySQL/SQL, Shell Script, Git Dev Ops tasks, AI coding assistance, Pimcore 12, Shopware 6
• Team size: >10 people

• Designed a migration strategy for WLS applications to BKA Cloud and Stack IT

• Created a hybrid cloud for internal testing and development with Kubernetes

• Transformed the IT landscape from an outdated monolithic architecture to a cloud-based architecture

• Integrated new CI/CD processes using Azure Pipelines

• Quadrupled the processing throughput for personnel security checks

• Migrated personnel security screening applications to Docker-based applications

• Implemented CI/deployment pipelines using Azure DevOps

• Environment: Java Springboot, Kubernetes, Oracle Weblogic, OpenID, Camunda, JUnit, TOGAF

• Analysis of the existing CAN communication between microcontrollers
• Analysis of the sensors used and the measured values collected
• Planning the CAN messages for transmitting the measured values
• Iterative adjustment of the microcontroller code to the new CAN messages
• Cross-compilation from x64 to arm64

• Automated analysis of test script repositories using Python
• Set up a SQLite database for signal and value tracking
• Identified critical inconsistencies through ad hoc SQL queries
• Technologies: Python, SQLite, Excel/ODBC

Methodology: Agile project management

Goal: Digitization and implementation of CCD2 requirements within the Consumer Finance systems.

Analysis, identification, and assessment of business requirements, as well as their transfer into technical implementation requirements. Coordination and status reporting of the various requirements. Documentation and process management using UML and BMPN. Cross-functional stakeholder management, UAT testing, data management, API architecture management.

Tools: Jira, Confluence, Visual Code, Sql Developer, Enterprise Architect, MsOffice, Bruno, ALM, Camunda, Figma

• Development and introduction of operations processes
• Preparation of complete documentation packages (including incident management and operations support) to meet compliance requirements
• Introduction of a workshop on IaC (Infrastructure as Code)
• Technical consulting for the project security concept (ISMS)
• Installation and operation of Kubernetes clusters on AWS, on-prem, and Azure
• Hybrid cloud architecture design (on-prem, Hetzner, AWS)
• Analysis and troubleshooting of incidents and system outages
• Network adjustments for firewall rules, gateways, OpenVPN settings, and IPsec tunnels (pfSense)
• Technical consulting on Bitbucket, Jenkins, and GitLab CI/CD pipelines
• Consulting on Ansible deployments and infrastructure automation
• Consulting on building a scalable system in the cloud (AWS / Azure)
• Technologies / Tools: Ansible, Terraform, AWS, Azure, VPN, pfSense, Jenkins, Bitbucket, Kubernetes, GitLab Runner, ISMS, Golang, Prometheus, Grafana, S3, Lambda, RDS, ECS, Cognito, OIDC, Harbor, MinIO, Postgres, Redis, Keycloak, Ceph, Proxmox, CloudFormation, PostgreSQL, Flux CD, Hetzner, IONOS, Sonatype Nexus Repository, Entra ID, Dex IdP, Pulumi

Designed and developed an AI-powered automation platform using n8n to analyze social media niches, identify target audiences, and automate marketing strategy generation. The solution combined AI agents, workflow orchestration, and data analysis to automate research processes and generate data-driven insights.

• Designed and implemented complex automation workflows using n8n
• Developed AI-powered analysis agents for market and audience research
• Integrated multiple APIs and AI services into automated workflows
• Built automated market, competitor, and target audience analysis pipelines
• Leveraged Large Language Models (LLMs) for information summarization, classification, and prioritization
• Containerized and deployed the platform using Docker

Technologies: n8n, AI Agents, OpenAI APIs, Prompt Engineering, LLMs, Docker, Linux, REST APIs, Webhooks

• Investigation PoC and exchange and refinement of an existing cloud and IoT power plant control solution for certificate management of renewable energy power plants (solar, wind, biomass and others) of the largest European renewable energy power plant operator in this field, including investigation of the IoT devices used in the field and their integration and network connection with the aim of automated PKI key management.
• Messaging with Kubernetes for large API-connected enterprise applications
• Risk and Attack Vector Analysis, Software Quality & Bug Assessments
• Agile Workload Scheduling via Jira & ConJluence
• Evaluation of message streams Pub/Sub for MQ and KaJka.
• Various tests with “best design approaches” regarding resilience patterns such as Circuit Breaker Designs, Throughput Measurement and Monitoring, Bulkhead Governors - for robust EA design
• Integration of API Management with IBMs API Connect to Kubernetes - for agnostic Microservices API Management Designs. Google Apigee
• Solution Health Check Approaches for Load Burst Situations + Remedy
• Research and investigation of available potential subcontractors in the coordinating role as Solution Manager. CIS20 Controls.
• Dread and Stride Security Assessments.

• Developing the infrastructure and improving existing infrastructure: Jenkins, Gitlab Pipeline, OpenShift, Docker, Helm Chart, Kubernetes, Artifactory, CodePipeline, CodeArtifact, Python
• Documenting solutions in Jira/Confluence
• Supporting other colleagues in different technical areas

• Development of a SaaS platform for esports teams with roles, planning, statistics and billing
• Design and implementation of the architecture, external API integrations and operations
• Stack: Laravel 13, React 19, TypeScript, PostgreSQL, Redis and Stripe

Two complementary tracks: (a) building my own AI products and open-source tools under the Neckarshore AI brand, with a focus on AI-supported multi-agent development processes and documentation automation; (b) freelance support for industrial, logistics, and financial companies in IT-related transformation projects.

Current product portfolio under the Neckarshore AI brand:

• Omnopsis Documenter — AI-powered documentation engine: generates compliance, technical, and release documentation from Git, Jira, and Confluence. 500+ automated tests, 100+ API endpoints, RBAC, monitoring stack.
• TrustScope — trust analysis for public GitHub repos: deterministic three-pillar report (Security & Supply Chain, Governance, Community) based on OpenSSF Scorecard, with constructive fix suggestions instead of a single misleading score.
• md-viewer — dependency-free Markdown viewer for macOS (Finder Quick Action) and web, split view of rendered document and raw text.
• Obsidian Vault Autopilot — AI-supported vault automation for Obsidian × Claude Code: sorts the inbox, renames notes, enriches frontmatter.
• Phonesis Voice Bank — voice archive for families, hospices, and cultural archives (guided recordings, inheritable archive, optional voice cloning); currently in the GDPR compliance phase (Art. 9, biometric data).
• Multi-Agent Development Process — 12+ specialized agents (architecture, implementation, security, refactoring, marketing) with structured handoff protocol, parallel execution, and automated quality assurance — powers the entire product development.
• Freelance consulting: Technical Product Ownership for production, logistics, and compliance/AML systems; steering international rollouts including test, cutover, and change management.

Stack: NestJS, TypeScript, PostgreSQL, Redis/BullMQ, Next.js, Claude Code (Opus), Docker, GitHub Actions, Vercel

• Develop hardware drivers and middleware using C++11, Java and Python
• Design of various RF features such as deembedding based on stakeholder requests
• Work with multiple teams to design drivers for multiple RF products
• Perform HW control to deliver RF signals and measure modulated response
• Develop RF drivers for generation of low noise signals to test WiFi7 products
• Use digital modulation techniques such as QAM for low level driver development
• Develop low level USB drivers for device enumeration
• Develop drivers for HW relay control of control boards for device testing
• Perform JTAG operations on devices under test
• Use network-based protocols (SFTP, UFTP, FTP, SSH) for control board communication
• Manage HW devices such as BADC and EEPROM for control board maintenance
• Utilize C++11/14/17 features, template metaprogramming and STL
• Employ multithreading for testing and control of multiple HW devices
• Develop tools for deployment of customer OS on control boards
• Perform component and integration tests using CxxTest
• Follow Scaled Agile Framework for software development
• Create detailed design documents using PlantUML

• Design, planning, and test case analysis
• Integration testing
• Coordination of UAT in the lab and on site
• Creation of HW and SW test catalogs
• Communication of test results from REST services with the SAP team
• Support for branches in the EU until rollout
• Coordination of defect management and SW updates with the involved vendors
• Checking the configuration of the charging stations in the backend software for different countries
• Continuous reporting of the quality status to project management
• Documentation of the user manual in English and German
• Tools: Confluence, be.Energised, OCPP Postman, OPI, CCV (payone.elavon), Excel, it4you

• Developed and deployed a deep learning model for automated keypoint detection in headlamp light distributions.
• Prepared and processed datasets, and selected VGG16 after benchmarking CNN architectures for the best accuracy efficiency trade-off.
• Delivered a Flask REST API, containerized with Docker, and integrated the solution into an existing internal system, enabling automated and efficient evaluation of headlamp designs.