I work with founders, technical leaders, agencies, and established companies that need experienced help without unnecessary process or inflated promises. Engagements can combine strategic guidance with hands-on delivery.
Fractional CTO & Technical Leadership
Senior technical leadership adapted to the stage and reality of your company.
- Technical strategy and pragmatic roadmaps
- Software architecture and critical technical decisions
- Engineering processes, team organization, and mentoring
- Hiring support and technical assessment
- Communication between product, business, and engineering
Product & Scale-up Engineering
Turn an idea into a product, or help an existing product and team absorb their next stage of growth.
- Product and technical discovery
- POCs, prototypes, and MVP delivery
- Architecture and technical foundations that can evolve with the business
- Delivery bottlenecks, reliability, observability, and operational readiness
- Fast feedback loops and deliberately managed trade-offs
Legacy Application Modernization
Improve a valuable existing application without defaulting to a risky full rewrite.
- Codebase and architecture audits
- Progressive refactoring and migration planning
- Performance, reliability, and maintainability improvements
- Testing strategy and reduction of technical debt
Senior Full-Stack Engineering
Hands-on engineering support across frontend, backend, APIs, data, and cloud infrastructure.
- Architecture and implementation
- Integration with an existing engineering team
- Complex feature delivery and problem solving
- Backend, frontend, database, and infrastructure work
Agentic & AI-Augmented Engineering
Use AI where it genuinely improves engineering work, while keeping experienced human judgment and accountability in control.
- Coding agents for codebase analysis, implementation, testing, refactoring, documentation, and automation
- Team workflows that improve speed without weakening review, security, or maintainability
- Responsible adoption of AI tools within engineering teams
- Product AI features when they solve a real user problem
A practical engagement model
The format depends on the problem: focused advisory sessions, an audit and action plan, fractional leadership, or hands-on delivery within your team. The first conversation is used to clarify the context, constraints, and most useful next step.