Company Brain
Tool-agnostic, context-optimized development environment for coding agents with isolated workspaces, built with Claude Code and Codex.
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Context Engineering · Workspace Architecture
01 / Profile
Agent-first with engineering foundation.
Autonomous execution requires engineering control over architecture, code quality, and technical risks. This creates resilient AI systems with traceable quality while accountability for their outcomes remains firmly with humans.
Core Competencies
Agentic EngineeringSoftware EngineeringSecure AI IntegrationAI FluencyAI Enablement
02 / Systems
Systems instead of buzzwords.
Developed and orchestrated with Claude Code, Codex, and Antigravity.
Focus Projects
Local RAG System
Offline RAG system using local LLMs via Hugging Face, containerized with Docker, Kubernetes, and Helm. Answers queries on ~200 pages of PDF documentation with source citations.
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RAG · Local LLMs · HuggingFace · Kubernetes · Helm · Docker · On-Premises AI
GiftFlow
Agentically engineered full-stack application for digital greeting and gift cards with secure data models, payment integration, 3D interaction, and E2E tests.
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Next.js · TypeScript · Supabase RLS · Stripe · React Three Fiber · Playwright
01
Development Systems
Personal Brain Vault
Knowledge, project, and agent system managing skills, workflows, specs, architectural decisions, learnings, and handoffs between Antigravity and Codex.
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Context Engineering · Loop-Engineering · Agent Harness · Obsidian
Home Assistant
Agent-assisted ongoing development of a real-world automation system with integrations, debugging, network routing, and security/stability requirements.
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YAML · Jinja2 · MQTT · Zigbee · ESP32 · IoT
02
Applied AI
Voice AI Agent
Autonomous interview agent handling candidate conversations and evaluations with automated Slack alerts via an n8n workflow.
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Vapi · n8n · Slack · Voice AI
CRM Data Platform & ML Model
Data platform featuring automated processing, REST API, React interface, and ML-based status prediction.
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Python · FastAPI · React · Machine Learning · Docker
03
AI Enablement & Infrastructure
GitHub Copilot Enablement
Introduced GitHub Copilot across the engineering team and trained colleagues for productive adoption.
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GitHub Copilot
Process Automation at ZF
Automated recurring manual steps in engineering and administration using Python, Excel VBA, and Microsoft Power Automate.
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Python · Excel VBA · Power Automate
NVIDIA H200 System
Selected and procured NVIDIA H200 system for local AI infrastructure.
03 / Operating Model
Steer context. Orchestrate agents. Own results.
Spec-Driven Development forms the core framework.
Test-Driven Development complements the framework when requirements can be formulated as executable tests.
- 1Clarify objective, context, and guardrails
- 2Sharpen spec and acceptance criteria
- 3Design and approve implementation plan agentically
- 4Orchestrate execution and iterate against tests
- 5Validate evidence independently and accept results
- 6Anchor decisions and learnings
04 / Experience
Translating engineering into impact.
AI / ML Software Engineer Video / Image
M4Com SYSTEM GmbH
Python software development for video and imaging systems focusing on coding agents, automation, and local AI.
- Built coding-agent workflows and local AI infrastructure
- Advanced data-sovereign AI workloads from evaluation to production operation
R&D Engineer SW Development
ZF Group
Modular and systematically tested software for engine control units and rigorous automation of development and administrative processes.
- Systematically automated development and administrative workflows
- Established AI development in the team and shared knowledge
- Contributed to Git, Azure Pipelines, and CI/CD processes
R&D Engineer SW & Function Development
FERCHAU · Deployment at ZF Group
Software and function development for smart transmission diagnostics.
- Developed and data-calibrated diagnostic functions for passenger car automatic transmissions
- Validated through SIL, HIL, and in-vehicle testing
05 / Foundation
Eight years of software engineering.
Track record in data-driven, embedded, and safety-critical systems: architecture, full-stack, data processing, APIs, testing, and CI/CD.
- Python
- C
- TypeScript / JavaScript
- FastAPI
- React
- PyTorch
- TensorFlow
- Azure
- Linux
- Git
- Docker
Education & Professional Development
- M.Sc. TechnomathematicsTechnical University of Berlin · 04/2015-04/2018
- B.Sc. Business MathematicsUlm University · 10/2011-04/2015
- AI ManagerEverlast AI
- Claude Code MasterclassEverlast AI
- Agentic Coding MasterclassEverlast AI · ongoing