AI & LLM Integration
Agents, RAG systems, tool use and structured outputs – integrated into your existing systems. With evaluation, guardrails and cost control for production use.
Claude · GPT · Gemini · open weights
Services
Two pillars, one standard: I build production-grade software and advise businesses on applying AI effectively – from strategy to operations.
Agents, RAG systems, tool use and structured outputs – integrated into your existing systems. With evaluation, guardrails and cost control for production use.
Claude · GPT · Gemini · open weights
An AI strategy for your business: opportunity analysis, use-case workshops, prototypes and training – until AI-supported processes stand on their own within your organisation.
Strategy · workshops · training · coaching
Agentic development workflows with professional quality assurance: faster delivery without sacrificing quality – including the modernisation of grown legacy systems.
Claude Code · agents · code review
Modern, responsive web applications with Next.js, React and TypeScript – backed by robust .NET or Node.js services and clean, documented APIs.
Next.js · React · TypeScript · .NET
Sustainable system architecture, containerisation and automated deployments – scalable, observable and operable for the long run.
Docker · Kubernetes · CI/CD
Data pipelines, analytics and process automation – with a data-driven mindset shaped by my scientific background in bioinformatics.
Python · SQL · pipelines

Profile
Clean Code Solutions is me: Andreas Truszkowski-Graw, PhD in bioinformatics, working in professional software development for more than 20 years. In that time I have designed, built and operated enterprise systems, research software and web platforms.
That experience is my biggest lever today: I can tell where AI creates real value – and where classic engineering is the better answer. My clients get consulting and implementation from a single source.
Technology
Tools change, the standard stays the same: the right tool for the job – mastered with confidence.
Approach
A workshop on goals, use cases and feasibility – with an honest assessment of what AI can and cannot do.
A working prototype in days instead of months – validated early thanks to AI-accelerated development.
Hardening into a production system: tests, security, deployment and documentation to engineering standards.
Monitoring, evaluation and continuous improvement – so the solution stays reliable over time.
Tell me what you have in mind – I'll get back to you with an honest assessment.