DeepSeek Experts in Germany

• Situation: Increasing demand for privacy-compliant AI solutions for clients in the KRITIS and mid-market sector that need to analyze sensitive media content (audio, video, documents) without sending data to public cloud LLMs.

• Task: Design, deployment, and secure operation of a fully self-hosted AI infrastructure including a custom-built digital management platform for automated media analysis.

• Action: Architected and implemented a multi-tier platform on hardened Proxmox infrastructure with frontend (Nuxt 3, Vue 3, TypeScript, Tailwind 4), backend (Laravel 13, PHP 8.4, Sanctum), data storage (PostgreSQL 16, MongoDB 7), caching/queuing (Redis 7, Laravel Queue), AI workers (Python 3.11, Whisper, DeepFace, Librosa), scheduling (Laravel Scheduler/Cron), and local LLMs (Gemma, DeepSeek, Qwen, Mistral, LLaMA, Phi) via OpenWebUI with segmented network access, API hardening, and audit logging following BSI recommendations.

• Result: Fully GDPR-compliant, on-premises AI platform with zero data leakage to third parties.

• Task: Overall responsibility as an external Head of Cyber Security / CISO-as-a-Service for the design, implementation, and continuous improvement of ISMS according to ISO 27001, BSI IT-Grundschutz, and NIS2.

• Action: Built and managed Cyber Defense Centers (CDC) with SOC operations, integrated SIEM solutions (Splunk, Graylog), established risk-based vulnerability management (Qualys, Nessus, OpenVAS), and conducted regular infrastructure, application, and physical penetration tests.

• Result: Audit-ready ISMS for multiple clients and a 60% reduction in critical vulnerabilities within 90 days.

• Task: Design and execution of NIS2 assessments and operational roll-out plans for KRITIS operators.

• Action: Developed an online assessment tool for automated identification of individual weakness profiles, implemented ISMS optimizations, penetration testing, awareness programs, GRC suite deployment, and delivered C-level presentations.

• Result: Accelerated the consulting process by 50% and successfully prepared multiple clients for NIS2 compliance.

• Task: Incident commander for crisis response, forensics, and business recovery in ransomware attacks and APT campaigns.

• Action: Coordinated with state and federal police (LKA, BKA), performed forensic analysis (OSForensics, Wireshark, Kali Linux), executed disaster recovery and BCM strategies, and developed BTC extortion response strategies.

• Result: 100% recovery rate within defined RTO windows and sustainable post-incident security architectures.

• Action: Planned, built, and operated a hardened multi-VM infrastructure (Proxmox, 15+ VMs) with web and mail servers, Graylog, OPNsense firewalls, CRM/ERP and LLM instances, network segmentation, DDoS mitigation, automated patch management, and backup strategies.

• Result: >99.5% uptime over 20+ years and zero compromises.

• Action: Designed coordinated phishing campaigns with five levels of difficulty, developed e-trainings and webinars in a PDCA cycle, and led red and blue teams.

• Result: Phishing click rate reduced from 35% to under 5% within three campaign cycles.

Manufacturing intelligence platform with enterprise workflows, RAG, real-time AI assistant features, and multi-repository backend architecture.

• Built and extended production AI/backend services with Django, DRF, FastAPI, GraphQL, Celery, PostgreSQL, MySQL, Redis, and WebSockets across a modular multi-repository platform.
• Contributed to ARIS V2, a real-time manufacturing AI assistant using LangChain, LangGraph, MCP tool orchestration, planning/execution flows, OpenAI, AWS Bedrock, Qdrant, and Elasticsearch/OpenSearch-backed retrieval.
• Supported rollout expansion from ARIS V1 in 4 of 17 client production plants to ARIS V2 currently active in 13 of 17 plants, increasing real-world deployment coverage to more than 50% of the client footprint.
• Worked on document-grounded RAG functionality including ingestion, OCR, chunking, embeddings, indexing, retrieval, reranking, and grounded answer generation for industrial workflows.

Stack: Python, Django, DRF, FastAPI, LangChain, LangGraph, GraphQL, Celery, WebSockets, OpenAI, AWS Bedrock, Qdrant, Elasticsearch/OpenSearch, PostgreSQL, MySQL, Redis, Docker.

• Self-hosted table tennis equipment platform.
• Development of a custom “Racket Builder” that uses a co-evolutionary genetic algorithm to identify, evaluate, and recommend the optimal combinations of racket blades and rubbers based on physics heuristics and player data within a search space of over 4 billion combinations.
• Development of a custom fully automated web crawler to capture equipment specifications, integrating an automated pipeline for image normalization as well as data harmonization via DeepSeek.
• Cloudflare Edge Workers written in Rust to perform low-latency data searches and offload computationally intensive simulations from the main server.
• High performance and accessibility standards across a large Nuxt 4 codebase achieving 95–100/100/100 Lighthouse scores.

• Labeling BarTender
• Structure, Schema ST4 consulting.
• MDR consulting.

• Fine-tuned and deployed Generative AI and LLM models (OpenAI, DeepSeek, Qwen-2.5) using PyTorch and Hugging Face, increasing ERP automation accuracy by 25%.
• Designed and implemented a secure RAG-powered AI Chabot for customer-specific invoice and quotation generation, cutting response times by 40%.
• Architected cloud-native AI/ML pipelines on AWS and GCP with Docker and Kubernetes for scalable model training, deployment and monitoring.
• Developed and integrated an API-driven AI Chabot (Telegram) with ERP systems, boosting document processing speed by 30%.
• Built AI agents for chatbots to enable multi-step reasoning, intelligent task execution, and context-aware interactions.
• Applied ML and NLP techniques for intelligent document understanding, workflow automation, and data-driven business decisions.

• Process optimization, process design
• Business partnering, target vision
• Teambuilding
• Workflow design
• Budget, MEC
• SAP S4/Hana, Board

AI Readiness - Part 3: Creating an E-Book on the Use of AI in Software Testing

• Designing and creating an e-book on the meaningful and safe use of AI in software testing from the perspective of an experienced test expert.
• Using generative AI (ChatGPT, Perplexity Pro) as a sparring partner for structuring, wording suggestions and variant creation, with final technical review and approval of all content based on my own expertise.
• Developing practical opportunities and risks of AI in testing, with a special focus on collaboration between testers and AI instead of "tester vs. AI".
• Title: "11 Strong Reasons: Dream Team Instead of Rivals - Testers and AI Are Unbeatable Together"
• Subtitle: "How humans and machines form the perfect team in software testing—and why pure AI testing is risky."
• Planned use of the e-book as a basis for workshops, client presentations, or internal training.
• Technology: Generative AI, ChatGPT, Perplexity Pro, Microsoft Word, Adobe Acrobat, many years of professional testing experience, common sense.

• Provided leadership as Product Owner for the DMS module in an agile multi-team setup
• Coordinated the nationwide rollout including requirements management and roadmap development
• Built and maintained the product backlog focusing on scalability, usability and data protection
• Conducted sprint reviews, refinements and stakeholder demos with over 15 involved teams
• Developed a rollout and training concept for successful launch at over 200 government agencies
• Introduced a reporting and monitoring dashboard to measure usage success
• Worked closely with architects, QA and operations to ensure integration into the existing system landscape

• End-to-end quality assurance in a global S/4HANA transformation program.

• Automated test data setup, evaluation of search and generation solutions, and PoC execution (K2View, EPI-USE).

• Coordination between Siemens teams and external partners, and structured knowledge transfer to internal stakeholders.

• Created a basis for PoC decisions and sped up tool selection.

• Standardized test data provisioning and noticeably reduced lead times.

• Established governance for test data processes (policies, roles, KPIs).

• Sustainable know-how transfer: empowered internal teams to operate solutions on their own.

• Methods & technologies: S/4HANA, SAP, K2View, EPI-USE, test data management, data masking, data provisioning, test strategy, test management, coaching & enablement, Azure DevOps, Microsoft Office 365, Gemini.

From Crude to Crafted: Refining Participatory Design Data into Stakeholder-Ready Outcomes

• Architected a production Document AI platform using Retrieval Augmented Generation (RAG) over 1,500+ participatory design artefacts to answer historical project queries with grounded responses.
• Designed LLM evaluation combining RAGAS, custom evaluation metrics and human-in-the-loop (HITL) validation workflows to evaluate factual grounding, response quality, and prompt performance.
• Built a React, TypeScript, and D3.js frontend for interactive exploration of AI-generated insights.
• Implemented input layer LLM safety controls and Guardrails, including PII redaction and foul language filtering.

• Developed RAG-based AI solutions integrated with enterprise data infrastructure for high-accuracy responses.
• Optimized LLM performance, reducing latency and cost with fine-tuned AI models.
• Built NLP pipelines for summarization, entity extraction, and sentiment analysis, enhancing automation workflows.

• Evaluation and analysis of camera-based traffic light and sign recognition system on various LLM-based autonomous driving systems (LMDrive, BEVDriver)
• Implemented VLM based traffic notice instruction generation unit for closed-loop autonomous driving system which alerts driver in unforeseen driving incidents
• Developed independent LLM-based local chatbot with Llama, DeepSeek and Qwen including MLflow evaluation framework

• Partnered with consumer brands to drive sales growth through targeted affiliate and content marketing campaigns
• Built and monetized a content-to-commerce funnel, converting digital audiences into measurable revenue within the first five months of launch
• Conceptualized, scripted, filmed, and edited SEO-optimized product review videos, reaching 56K+ views and 4K+ watch hours in the first year
• Applied SEO, keyword targeting, and audience analytics to enhance conversion rates, click-throughs, and retention
• Collaborated with brands to design discount campaigns and optimize messaging for performance marketing outcomes
• Utilized YouTube Studio, Google Analytics, and AI tools (ChatGPT, Gemini, Claude) to refine strategy, identify trends, and improve campaign ROI