For startups and corporate pilot projects, I oversee the rapid development of cost-effective prototypes. Whether it’s an MVP for long-term scaling or a throwaway prototype for validation, I help define the right approach. A well-built prototype allows you to test ideas with real users, gather feedback, and refine your product-market fit, without committing to a full engineering team too soon.

Clear, well-structured requirements are essential for scalable and maintainable software. Leaving developers to define them alone can lead to poor architectural choices, costly rework, and long-term technical debt. I ensure that business goals are accurately translated into technical specifications, refining requirements to align with scalability, performance, and future development needs, so your project starts on the right foundation.

A solid software architecture is the foundation for scalability, performance, and long-term maintainability. I conduct a thorough analysis of functional and non-functional requirements, identifying gaps and ensuring that technology decisions align with business goals, not just developer preferences. With a focus on future-proofing your system, I provide clear estimations on scope, timelines, and best-fit technologies to ensure a scalable and efficient architecture.

Together with my network of designers, product managers, QA engineers and developers or external agencies, I can provide you with a fully-fledged engineering team for your software projects. As your CTO, I will personally supervise the project and be your single point of contact. You can rest assured that the project will meet the desired quality standards and be delivered within the deadline, without having to deal with the usual issues in software development projects.

Integrating machine learning and artificial intelligence can unlock automation, data-driven insights, and new product capabilities, but poorly implemented AI can lead to high costs, complexity, and little real value. I help identify the right use cases, ensure clean implementation, and integrate AI solutions that are scalable, cost-efficient, and aligned with business goals, whether it’s LLMs, predictive analytics, or AI-powered automation.

A solid quality assurance (QA) strategy ensures your software is reliable, scalable, and maintainable, without slowing down development. I help define testing frameworks, automation strategies, and CI/CD integration to catch issues early and reduce costly bug fixes later. From unit and integration testing to performance and security testing, I ensure your QA process is efficient, scalable, and aligned with your business needs.

Having worked in countless legacy projects and refactored many of them to state-of-the-art technologies, I've developed a field-tested approach to cost-efficient refactoring. Together with your team, I can develop the architecture and the roadmap for refactoring, as well as giving practical guidance or participating in updating important parts of the software. Further, I can support your decision whether legacy software should be replaced or refactored.

Complex technical issues, recurring bugs, or performance bottlenecks can stall development and lead to long-term inefficiencies. I specialize in troubleshooting critical system failures, debugging deep architectural flaws, and optimizing performance. Using advanced diagnostic tools, I quickly identify root causes and provide tailored solutions to ensure your software remains scalable and secure.

When staff shortages, urgent deadlines, or unexpected challenges slow down development, I step in to keep things moving. Without the delays of hiring, I quickly adapt to your project, integrate with your team, and contribute at a senior level. Whether it’s leading critical initiatives, solving complex technical issues, or accelerating development, I provide immediate, high-impact support where it’s needed most.