OpenAI Whisper 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.

agentic-engineer.online is my publicly testable live demo and at the same time the platform where I show my work. Originally created as a recruitment trial task, I have since continued to run it as my own demo, learning, and product project — on a Hetzner VPS behind a Cloudflare tunnel, through a multi-stage AI-orchestrated deploy pipeline with snapshot rollback. If a deploy step breaks, the system falls back to the last clean snapshot, the script is adjusted, the test repeated — empirical, test-driven, without hand tuning.

• Technically behind it: Python and FastAPI, an OpenRouter model cascade, SQLite persistence, and Cloudflare edge tuning.
• I am the developer and the strictest customer of my own AI work in one person — what started as a prototype has become a tool I use every day and against which I test my own products.

• ▶ Built real-time voice assistant (STT → LLM → TTS pipeline) benchmarking and evaluating multiple STT providers including faster-whisper and Azure Speech. achieved sub-3s latency, Groq API (Llama 3) with multi-turn memory - directly handling edge cases in dictation, names and passcode recognition.

• Acted as technical consultant to optimize multi-layer ensemble models combining ResNet, CNN-BiGRU-Attention, and XGBoost.
• Guided implementation of a Logistic Regression meta-learner to solve class imbalance problems, achieving 92.86% accuracy and 0.9644 AUC on PTB-XL and Chapman-Shaoxing datasets.

Loom and Bloom

Python · TypeScript · n8n · Claude Code · Whisper · Gemini · Supabase · Notion · HubSpot · Digital Ocean

• Built an end-to-end content pipeline: one Loom video → marketing images, bilingual LinkedIn posts, newsletter and Help Center updates.
• n8n webhook → SSH → Claude Code session on a Digital Ocean VPS; three MCP servers (video, Notion, Supabase).
• Whisper word-level transcription, ffmpeg screenshots, Gemini UI annotation, PIL device mockups.
• Next.js upload UI plus a bilingual newsletter composer with HubSpot push.

• Developing a professional scheduler for organizations with specific detailed requirements
• Evaluating different existing software solutions
• Creating a list of technical requirements
• Implementing these requirements
• Selected technologies: WebDAV, CalDAV, Rust, Baikal, OAuth, Keycloak

• Responsibility, also as rollout manager, for the successful transition of a basic OZG platform into the client's standard operations by planning and implementing measures along Service Transition and Service Operation according to ITIL, including workshops in a SAFe environment with more than 40 operational stakeholders
• Building and maintaining cross-organizational stakeholder relationships by organizing and running various information sessions on technical configurations and user guides (platform and EfA services)
• Designing and improving various operational and project documents such as the ITIL operations manual, OLA, SLA, service support concept and rollout instructions
• Modeling project-based processes according to BPMN 2.0, EPK and UML related to OZG services with the goal of integrating them into the operational e-government process landscape (SOA)
• Coordinating operational stakeholders and KPI reporting to the project management team using agile methods according to SAFe
• Tech stack / tools: Microsoft 365 (SharePoint, OneNote, Outlook, Teams), Skype for Business, Cisco Webex, ADONIS, MindManager, Jira, Confluence

• Consultant for system architecture, AI agents & integration, coach for data & process logic, Graph-RAG approaches, security and data protection.
• On-premise AI solutions with high compliance and performance requirements.
• Architecture decisions, operational setup, strategic prioritization & deployment.
• Technologies: LiveKit JS SDK, LiveKit Agents, Web Audio API, JS, AudioWorklet, Loki, vLLM, Zscaler, Docker, Neo4j, MySQL, Python.
• Models: GPT-OSS 20B, Whisper large v3 turbo, Qwen3-TTS.

• Consulting and interim management in the automotive industry, healthcare and other sectors focusing on program management, production launches, plant management, supplier development, cost reduction, process optimization, AI implementation and AI-driven process automation.

• Key projects:

• Concept for performance documentation of a pain therapy department with interdisciplinary input and reconciliation with OPS catalogue (Feb 2026).

• Complete billing system for a medical practice with multi-tenant support, state machine workflow, ZUGFeRD/EN16931-compliant invoice generation, OpenEMR integration; implemented with ~4 200 LOC Python, ~1 700 LOC SQL, 30+ endpoints, 13 DB migrations (Dec 2025 — Feb 2026).

• Clinical decision support system for inpatient pain therapy including automated processing of pain questionnaires, AI-generated therapy recommendations and longitudinal analysis; stack: FastAPI, Ollama, PyMuPDF, React + TypeScript, PostgreSQL, Docker (Sep 2025 — Mar 2026).

• End-to-end AI-powered transcription and documentation pipeline from physician-patient conversations with WhisperX transcription, five-stage LLM pipeline, review UI and self-hosted infrastructure; stack: FastAPI, WhisperX, Ollama, React + TypeScript, Docker (Aug 2025 — Feb 2026).

• AI-powered pipeline for document recognition and automated bank reconciliation processing >3 000 transactions and >4 000 documents with multi-model OCR, LLM-based document separation, web UI and loop-based prompt versioning; infrastructure: Docker Compose, PostgreSQL, Ollama LLM server (Aug 2025 — present).

• Supplier development for suspension parts including changes, new launches, relocations and bottleneck management for KTM (May 2023 — Nov 2024).

• Leading transfer of 150 serial production items after supplier plant closure for KTM (Jul 2022 — Jan 2024).

• Lean and process consultation for Swiss manufacturer of electro components at Von Roll Schweiz AG (Jun 2018 — Nov 2018).

• Ongoing back office support and process improvement for a private pain therapy & TCM practice including anesthesia protocols, website setup, digitalization and process optimization (May 2018 — May 2025).

• Acting plant manager for interior trim components in Hungary focusing on stabilization, tooling optimization, headcount reduction and backlog reduction at MAO Automotive GmbH & Co (Feb 2018 — Jun 2018).

• Start-up consulting and coaching for private pain therapy & TCM practice covering concept, business plan, financing, construction, setup and SOP implementation (May 2017 — Apr 2018).

• Program manager for critical suppliers DAG BR238 door trim leading supplier qualification, sampling, PPAP/EMPB tracking and process approvals at Megatech Industries Deutschland GmbH (Jul 2016 — Oct 2017).

• Interim COO and acting plant manager in aluminum profile processing automotive supplier with 350 employees and €80 M revenue, leading expansion in Slovakia at PWG Profilrollen-Werkzeugbau GmbH (Sep 2015 — May 2016).

• Leading labor and material efficiency program for headliner production focusing on process, material, labor and supplier cost reduction at Motus Headliner GmbH (Jan 2015 — Aug 2015).

• Leading development program for interior door trim DAG C292 including launch phase onsite in MS & AL at Toyota Boshoku America (Sep 2012 — Jan 2015).

• Leading cost down team for DAG C218 door panels at Toyota Boshoku Europe NV (Mar 2012 — Aug 2012).

• Sun visor development consulting for project team in Turkey including optimization, market analysis and design reviews at MARTUR FOMPAK (Jan 2012 — Dec 2014).

• Leading transfer of injection molding tools to new suppliers including sampling, assembly trials and PPAP/EMPB coordination at Toyota Boshoku Europe NV (Jan 2012 — Aug 2012).

• Program manager for BMW sun visors L7 Platform with production transfer and new development of F30 sun visor at Magna (Jul 2010 — Dec 2011).

• Central build and delivery for 20+ applications, 100+ pipelines/day, 700+ GitLab projects
• Build pipelines for Go, Java and JavaScript
• Provisioning of 100+ components
• Quality assurance via GitLab Code Quality and SonarQube
• Checks for dependencies, licensing and vulnerabilities
• Release creation via Jira and ServiceNow
• SBOM, Supply Chain Security, distroless images
• PoC GitLab Runner: Nomad vs. Kubernetes
• Technologies: Artifactory, buildah, GitLab Premium, Go, Gradle, Jenkins, Mend, Podman

• Designing a speech-to-text AI application (based on the Whisper model) for commercial use.
• Conduct market, competitor, and user research to inform strategic business decisions and align product goals with user needs.
• Develop the startup’s visual identity and led UX/UI design in close collaboration with the founders and developers to shape the product vision.
• Applied technical understanding at the CSS level to review and assess frontend implementation quality, ensuring accurate design execution.

• Developing an AI-enabled platform that summarizes YouTube channels into daily digests with article and podcast formats.
• Built scalable backend in Node.js integrating OpenAI Whisper for transcription and GPT for summarization.
• Implemented frontend in React with TypeScript, ensuring responsive design and accessibility.
• Set up automated deployment pipelines and CI/CD with Docker & GitHub Actions.

• Build a sophisticated AI copilot to augment the students’ learning experience and provide AI-derived insights to professors.
• Build a multi-chain LLM system adapting to user needs at its own accord with a Weaviate vector DB based RAG system and evaluated it with Ragas.
• Build responsive react frontend, and backend systems handling auth, data management and auxiliary services as a RESTful API.
• Deployed and managed the app to the cloud in a production environment including the CICD via multi-stage deployment.

• Developed a multi-agent system connecting LangChain ZeroShotAgent with custom tools for live APIs and task automation.
• Built a FastAPI backend for Jira ticket creation, triage and assignment, auto classification of severity, deduplication, SLA setup, on-call rotation, bidirectional sync of status and comments.
• Added Slack alerts and RAG knowledge lookup with FAISS or pgvector to suggest fixes, optional PagerDuty escalation on policy breaches.
• Orchestrated agents with a router and a Celery plus Redis queue, retries with backoff, rate limits, idempotency keys, human in the loop approvals.
• Implemented guardrails and observability, prompt versioning, token and cost budgets, PII redaction, tool-use allowlists, timeouts, OpenTelemetry tracing, dashboards for accuracy and latency, deployed on Kubernetes with feature flags and canary rollouts.