Technical Director in Germany

Part-time, advisory role. Pre-seed, pre-prototype venture: autonomous interceptor drones for drone defence.

• Shaped the early GTM of a defence venture from zero: value proposition, KPI framework and dual-use entry strategy (armed forces and procurement first, police and drone-defence centres as civilian scale-up).
• Started early conversations in the Bundeswehr innovation ecosystem, with authorities and industrial partners before a prototype was available.
• Support the founding team with investor and ecosystem conversations for the pre-seed round.

DOKKI

AI-powered digital health product development

• Shaped the product vision, requirements, priorities, and technical target architecture of an AI-powered solution for processing medical documents.
• Designed LLM evaluation, data processing, data protection/governance aspects, and subsequent product development; technical prototyping with Codex.

• Restructuring & interim management: Leading and stabilizing R&D organizations during periods of change and growth, particularly during strategic realignment, M&A or to bridge leadership vacancies
• R&D operating models: Assessing and redesigning devel...

Through Sourcegarden GmbH, ongoing engagement. Transitioning software development to agentic development in phases, from setup and pilots through transformation and handover.

Qlarin helps companies bring AI into the processes they already run, so that pilots become tools teams actually use every day, concept based on Design Thinking and Lean Management.

• Lead the full cycle: process analysis, identifying where AI saves real time, based on the QLARIN method (process clarity first, technology second).

Built and scaled a high-performance enterprise API for real-time address validation and data quality with sub-second latency and 99.9 % availability.

Designed and integrated the solution into e-commerce, checkout, and logistics processes of leading European companies. Reduced delivery errors and shipping costs through automated data correction and precise data validation.

End-to-end responsibility for product strategy, technical architecture, software development, enterprise customers, operations, and GDPR-compliant data processing. Combined AI-native engineering workflows, Python, SQL, API integration, data quality, and workflow automation.

• Founded an AI-powered scheduling and business-management SaaS for SMBs, owning technology strategy, architecture, product development, UX, billing and go-to-market execution.
• Architected and shipped a multi-tenant platform with REST APIs, RBAC, CRM, billing and notifications, powering the manager dashboard, admin console, booking experience and iOS/Android applications.
• Led and mentored 7 software engineers, 1 DevOps engineer, 1 QA engineer and 1 UX/UI designer, while remaining hands-on across backend, frontend and product delivery.
• Built AI voice and chat agents using Python/FastAPI, OpenAI and Anthropic APIs, RAG, pgvector and tool calling; integrated Twilio, Google Calendar/Meet, Stripe and Firebase.
• Owned production infrastructure and automated delivery across separate environments using Docker, Nginx, GitHub Actions and Grafana; represented the company at accelerators and international startup events.

Selected stack: Python, FastAPI, Node.js, Vue 3, React/Next.js, React Native, PostgreSQL, Redis, Docker

• Technical management of parallel rooftop PV projects (Type A/B) from project planning through construction to completed plant certification
• Analysis of project requirements based on on-site inspections, planning reviews and evaluation of tender and project documents, and preparation of the findings for the internal planning department
• Derivation of work packages and milestones for each project, including structured filing in the client’s project documentation (SharePoint)
• Coordination of the planning phase between planning, procurement and executing trades
• Preparation of specifications and bills of materials as the basis for preparing quotations, and monitoring the timely submission of offers
• Coordination and monitoring of the construction phase, including schedule tracking and ensuring implementation in line with the plans
• Preparation and continuous updating of project schedules and project budgets across all projects
• Tracking of milestones, work packages and project progress, as well as early documentation and escalation of schedule and budget deviations to the overall project management
• Preparation of technical analyses of existing and planning data for each plant as the basis for the entire certification process
• Review, verification and compilation of all certification-relevant evidence: technical data sheets, manufacturer approvals, component documentation, test reports, type certificates and simulation results
• Assessment of the completeness and compliance of manufacturer documentation with applicable standards, identification of missing evidence, and requesting and tracking missing documents from manufacturers and installers
• Preparation and technical review of declarations of conformity for the grid connection of the plants
• Preparation of complete plant certification documentation for Type A/B in accordance with the applicable VDE application rules, the grid operators’ technical connection requirements (TAB) and the requirements of the certification bodies
• Review and documentation of protection concepts, as well as definition of the certification scope for each plant in technical coordination with the grid operators
• Submission of documents to grid operators and accredited certification bodies, follow-up on queries through final approval, and deadline management across parallel procedures
• Management of interfaces between the client, manufacturers, installers, grid operators and certification bodies, as well as complete project documentation with status overviews, communication logs and approval documents

Independent engineering practice focused on custom AI systems, production delivery, and fractional technical leadership.

Selected client engagement: Scalutions

• Role: Serve as fractional CTO and hands-on technical lead, responsible for the architecture and agentic infrastructure behind its managed B2B outbound operation.

• Product: Designed and built OutboundLoop, an agentic SDR operating system for research, qualification, personalized outreach, campaign management, human approvals, measurement, and continuous improvement.

• Scope: Own the full system lifecycle—from business processes and agent behavior to context design, model routing, integrations, evaluation, telemetry, reliability, cost control, and production operations.

Stabilization of an Azure/.NET landscape in live operation.

• Architecture, DevOps, and operational readiness; technical decisions under time pressure
• Azure DevOps, monitoring, ETL/ELT, cloud security, FinOps, and data-mesh-related topics

Technologies: Azure DevOps, .NET, CI/CD, monitoring, FinOps

Multi-Agent Document-Generation Platform

Problem:

Turn a single prompt into a well-researched, structured and cited document, while keeping the user in control: every stage can be reviewed, corrected or revisited before the system moves on.

Architecture:

A multi-agent system orchestrated by a central controller. More than 20 specialised pydantic-ai subagents (understanding, structuring, planning, research, writing, assembly, cross-reference check, glossary, citation, reference table and more) pass results forward through a shared plan persisted in Postgres (asyncpg); a runner layer dispatches each task by name to its agent, and mechanical steps such as formatting, table of contents and list of figures are deterministic code instead of LLM calls. Provider (Anthropic or OpenAI) is a configuration setting, and responses stream over Server-Sent Events.

Hosting & Infrastructure:

Stateless container run as a Scaleway Serverless Container on a private network with managed PostgreSQL, object storage for finished documents and assets, and centralized log shipping (Loki / Scaleway Cockpit), provisioned with OpenTofu modules and deployed through GitLab CI; usage is metered per API key.

My Contribution & Key Decisions:

• Central decision controller: a satisfaction classifier turns the user's free-text feedback into a verdict (keep working, advance, cancel or revise an earlier task), and a middleware applies it to the plan. Plan progression supports jumping back to earlier tasks and re-running the stages after them.
• Research and writing fan-out: planning produces a plan from which a research-design agent generates individual research tasks and a writing-design agent generates individual writing tasks, each linked to the research it needs. Every task runs in its own dedicated agent with its own conversation history.
• Self-review and human-in-the-loop: after each step a critical-thinking agent reviews the output; the user can accept, refine, or ask questions about a critique before the plan advances.
• MCP integrations: two remote MCP servers, web search and internal document search, connected through pydantic-ai with retries and long-running tool-call timeouts. Classifier agents decide per task whether web search is needed, and a small model condenses raw search results into structured findings before they reach the writing agents.

Usage Metering:

Clients authenticate with an API key validated against a key-management service; consumption is charged in credits calculated from token usage per model plus a markup, and exhausted quota is answered with HTTP 429.

• Development and implementation of technical guidelines for electrical and mechanical systems
• Development of the electrical safety organisation as responsible electrician (gVEFK)
• Implementation and oversight of DCIM and related technical software solutions
• Design of technical solutions for lifecycle infrastructure and customer projects

• Built a new BI team, Snowflake data warehouse and BI infrastructure from scratch
• Lead the BI team to drive data-driven decision-making across cargo handling operations.
• Design and maintain enterprise data solutions for performance tracking, forecasting, and operational efficiency.
• Collaborate with stakeholders to align BI strategy with business objectives in a high-throughput logistics environment.