API Security Experts in Germany

• Held direct line management responsibility for a team of 4 Platform Engineers — owning hiring, performance reviews, and career development — while establishing a shared engineering standards framework and coaching culture that accelerated delivery across client engagements.
• Led a team of engineers to architect a cloud-native voice AI system for a major inspection client, enabling 2,500 field inspectors to document work fully hands-free via real-time transcription and AI agents — eliminating manual data entry across 440,000 inspections per month and reducing per-user cost from $9 to $1. Stack: AWS (DynamoDB, S3, Transcribe, CloudFront, API Gateway, Bedrock), ElevenLabs, Claude.
• Led a team of engineers to automate multi-region Kubernetes cluster management for a global SaaS leader, reducing provisioning time from 3 weeks to under a day and eliminating 90% of configuration errors. Stack: EKS, Terragrunt, Python, Bash, ArgoCD.
• Accelerator - Cloud-Agnostic AI Platform: Architected and delivered a cloud-agnostic, Kubernetes-native platform as an accelerator, enabling multi-tenant, enterprise-scale management of self-hosted LLMs with concurrent deployment of multiple base models and dynamic LoRA adapter serving. Designed production infrastructure using open-source tooling (ArgoCD, Karpenter, vLLM, SGLang) with automated model lifecycle management, API security (Keycloak + LiteLLM), and cost-optimized GPU provisioning.

• Successful implementation of vulnerability management with DefectDojo
• Consulting and implementation of technical and process-related aspects of vulnerability management with DefectDojo
• Consulting on the implementation of a secure software development lifecycle
• Skills: Gitlab, DefectDojo, Vulnerability Management, SCA, SAST, DAST, Python, Kubernetes, ArgoCD, Docker, AWS, Azure, Whitesource/Mend, Greenbone

• Architecture and implementation of a fully digitalized closing flow for managing securities contracts within the DVAG infrastructure. The platform aims for maximum user-friendliness, modular extensibility and compliant handling of sensitive data.

• Implementation of a reactive UI structure with a focus on user guidance & accessibility.

• Dynamic control of form and closing processes including validation logic.

• Reactive state management via SignalStore (signals + selective effects).

• UX optimization through adaptive components and Playwright-based UI tests.

• Backend modularization to connect existing sales and contract logic.

• API stability and DTO design according to Clean Architecture principles.

• Collaboration with domain teams to define technical contracts and service boundaries.

• Management with GitHub.

• Unit tests with Jest, E2E tests with Playwright.

• Code reviews, CI-integrated test execution, iterative refactorings.

• Ensuring high coverage and UI stability in the closing flow.

• Technologies: Angular 18, RxJS, SignalStore, HTML5, SCSS, Spring Boot, Kotlin, REST, OAuth2, Jest, Playwright, Clean Architecture.

• Defined and executed a comprehensive security roadmap: integrated Shift-Left Security, CNAPP, and DevSecOps principles to streamline secure product development and reduce risk exposure.
• Established a robust threat modeling framework: embedded security into design processes, enabling early identification of vulnerabilities and reducing potential risks.
• Developed a scalable Vulnerability Management program: accelerated detection and remediation of new vulnerabilities, significantly shortening the risk response cycle.
• Enhanced cloud and container security: leveraged advanced tools such as Tetragon to achieve deeper visibility and implement a defense-in-depth strategy.
• Automated security controls within CI/CD pipelines: integrated security measures into the development lifecycle to maintain continuous delivery with robust safeguards.
• Championed cross-functional collaboration: partnered with developers and infrastructure teams to prioritize threats and align remediation efforts, fostering a unified security culture.
• Ensured regulatory compliance and audit readiness: collaborated closely with the InfoSec team to adhere to internal policies and successfully support audits for standards like PCI-DSS and SOC2.

• Developed a custom tool using the Mistral 7B LLM to scan, validate and report security vulnerabilities.
• Security tested AI agents, bots, and other LLMs with a focus on prompt injection, model inversion, data poisoning, EDR/AV bypass and evasion techniques, membership inference, model evasion, overfitting to malicious inputs and contextual manipulation.
• Onboarded repositories to SAST solutions for security scanning, implemented secrets scanning, DAST, SCA, and utilized ZAP for DAST in CI/CD pipelines.
• Engaged in security awareness trainings, developed CTF challenges and training materials to enhance developer security knowledge.
• Planned and executed bi-annual red teaming operations based on the MITRE ATT&CK framework and led internal and external pentests based on the OWASP Top 10 framework for 70+ applications worldwide, resulting in detection, reporting, and remediation of hundreds of vulnerabilities.
• Triaged HackerOne reports.

• AI-supported source code analysis
• AI image generation for a shirt shop
• AI-supported analysis of connected YouTube channels and commenting users
• AI-supported software prototyping
• Operation of a local AI environment
• 3D printing and scanning: development of a process to repair GfK parts using 3D-printed negative molds

The focus is on practical applications of new technologies, founding an open-source project for a yacht autopilot, as well as yacht refit and motorhome conversion.

• Developed Red Team infrastructure for real-world attack simulations using Sliver C2 and custom tools
• Executed advanced Red Team operations, integrating AI/LLM security research for prompt injection attacks
• Conducted comprehensive breach assessment attacks and vulnerability assessments across enterprise infrastructure
• Performed root cause analysis and purple team exercises, generating executive-level reports
• Lead LLM red teaming initiatives to improve AI model security for GPT-4, Mistral, and internal GenAI models

• Technologies: GoLang, JavaScript, TypeScript, AWS, Terraform, Git
• Conception of AWS infrastructure and existing services
• Analysis of IAM accounts and roles
• Setup of Cost Explorer and CloudWatch monitoring
• Setup of DynamoDB and S3 persistence of collected information
• Reporting and cost calculation
• Conception of Terraform deployment