A career in engineering

• Lead technology strategy, platform engineering and delivery for sovereign AI / automation initiatives in regulated, privacy-sensitive environments.
• Built secure on-prem AI and automation platforms using GPUs, NPUs and edge hardware, encrypted mesh networking and event-driven workflows ("AI behind the firewall"), reducing external data exposure to zero for sensitive workloads.
• Delivered private inference and document automation pipelines for classification, routing, extraction and workflow orchestration across ERP/CRM/DMS systems, turning previously manual inbox/attachment flows into structured events.
• Defined technology roadmaps, governance models, delivery cadences and SLO/SLI frameworks tied to business KPIs.
• Constructed data ingestion and processing pipelines with schema validation, routing and ML enrichment, making it possible to plug new models or hardware into existing business workflows without re-architecting everything.
• Ran discovery, scoping, financial modelling and de-risking spikes for new AI/ML-driven products and internal tools.
• Alongside building Glowing Pixels, I take on selected consulting engagements in AI / infra to fund development and validate parts of the platform in real environments.

Managed cross-functional engineering teams at one of Germany's leading real-estate platforms and was selected to build a company-wide QA department (Director-track) before rollout was paused due to a company-wide investment freeze.

• Led backend, frontend and platform teams; owned hiring, performance, coaching and team health.
• Partnered with product and design to drive outcome-focused roadmaps and remove structural bottlenecks.
• Raised engineering maturity: CI/CD, observability, test strategy, incident / on-call processes.
• Designed the QA org (charter, structure, hiring plan, KPIs) and hired initial senior QA engineers; core practices were later adopted by multiple teams despite the formal rollout being halted.

• Modernized service boundaries and deployment processes.
• Drove early DevOps adoption and delivery stabilization.

• Led vision and roadmap for an applied AI/ML platform.
• Built the initial team, shaped product strategy, and established R&D practices.

• Delivered backend features for a global ground-transport distribution platform.
• Improved reliability and performance; helped establish engineering norms (CI, monitoring, code review discipline).
• Formed the Berlin development team from scratch and defined working processes for a distributed engineering setup across three locations.
• Helped grow the engineering organisation from ~3 to ~20–30 people, including onboarding, mentoring and shaping the technical culture.

• Delivered backend features, improved reliability, and established engineering norms (CI, monitoring, code reviews).

• Lead Manager for a major applied R&D project focusing on MEMS/accelerometer-based sensing and embedded navigation systems.
• Led a cross-disciplinary team of engineers and scientists through prototyping, testing, performance validation, and integration.
• Primary interface to external funding bodies; responsible for reporting, milestone alignment, and deliverable acceptance.
• Oversaw technical scope, risk, and financial reconciliation with internal accounting/compliance units.
• Delivered validated prototypes, reliability analyses, and formal documentation under strict performance criteria.