Find the best Automation Architects in Germany from over 15,000 CVs with the power of AI

Zerobits is my vehicle for AI-powered automation and custom software development with a clear principle: AI solutions that reach production, not pilot stage. I design and build the systems myself - from first concept and architecture through implementation to deployment and operations.

My focus is on replacing repetitive, manual work with reliable automation and connecting disconnected tools and data sources into one dependable overall system.

Selected work:

• Design and implementation of LLM-based agent systems and RAG pipelines (Anthropic Claude, Mistral, MongoDB Atlas Vector Search + RAG)
• Workflow orchestration for long-running, fault-tolerant business processes using Temporal (temporal.io): saga patterns, event-driven architecture, retry and compensation logic, connecting third-party APIs and internal services into automated end-to-end processes
• Full stack product development: SaaS architecture on Kubernetes, TypeScript/React/NestJS, admin tooling with refine.dev and MUI
• AI-assisted development workflow as standard practice to deliver production software at a fraction of traditional timelines
• Full stack product development: multi-tenant SaaS architecture running on Kubernetes, backend with NestJS/Node.js and Python, frontend with TypeScript, React and Next.js, admin tooling with refine.dev and MUI, CI/CD with GitHub Actions

One of these projects is a product I own and operate - free of any NDA restrictions. I'm happy to demonstrate it end to end.

• Codebase Evaluation & Problem Design: Designed and stress-tested complex software engineering problems against large open-source Python codebases (including pandas), requiring deep context acquisition and architectural understanding to produce well-scoped, realistic problem statements aligned to strict correctness guidelines.
• Agent Failure Analysis: Assessed LLM coding agent solutions for correctness and completeness, identifying meaningful failures across edge case handling, dtype behaviour, and multi-column NaN propagation logic; documented findings with precision for downstream evaluation use.
• Programmatic Test Suite Development: Authored comprehensive pytest suites to programmatically verify agent-generated solutions against defined requirements, with deliberate coverage of boundary conditions and failure modes not caught by naive implementations.
• Containerised Environment Engineering: Built and debugged Docker environments for reproducible agent execution, including git-based repository provisioning, dependency pinning with npm ci, and multi-stage Dockerfile authoring across Linux-based containers.

• Development of a SaaS application for automated claims handling with AI agents (LLM) as the primary development team
• Design & testing of efficient and secure context management setups in the development process (including multi-sub-agent use, memory systems, caching)
• Definition and implementation of LLMOps pipelines with Azure AI Foundry for AI agents in customer contact (including versioning, logging, audit trail, security tests)
• Infrastructure provisioning via IaC (Bicep), application configuration via GitOps-based CI/CD pipelines (rules engine, workflow engine)
• Development of integrated security architecture designs between AI-based & classic applications with a special focus on regulatory requirements
• Integration of workflow and rules engine in a NestJS service architecture — for automated, rule-based control of claims processes
• Probabilistic extraction and preparation of claims data as the basis for rule-based, deterministic decision logic — traceable, auditable, and regulatorily compliant

Overall architecture and technical implementation of a Wix-based subscription frontend with Stripe payments and connection to Axxessio's SaaS backend. Implemented Stripe Checkout, subscriptions, webhooks, and transaction logging end to end. Customer data and contract information transferred automatically via a JWT-protected REST API. Designed and documented proxy and security architecture for IP whitelisting, HMAC, and operations, and aligned it with the backend team.

Stack: Wix Studio, Wix Velo, JavaScript, Stripe, Webhooks, JWT, HMAC, REST API, Hetzner, Cloudflare

• Intent-driven approach to configure all models across all series automotive in all distribution markets of this car manufacturer
• Developed a customer-facing, conversation-driven integration layer to achieve 100% hallucination-free technical configurations
• Utilized Microsoft Azure AI Services: AI Foundry, Agent Service, AI Search; Prompt Shield Services; Content Security; Terraform; API Gateway; AI Gateway; Container Services; Azure Agent SDK; Agent Skills; RAG; MCP Servers and tools

• Architected RAG retrieval system cutting manual RAG pipelines processing by 70% and saving 120+ hours/month.
• Designed automation layer increasing operational throughput by 40%.
• Built context-aware AI agents improving precision by 30%.
• Established automation governance to ensure scalability and reduce risk.