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Work with me

I help when the goal is a concrete technical outcome: backend and integrations, AI tooling, or teaching with practical engineering context.

Current availability

Engineeringlimited availability
Teaching & Mentoringlimited availability

Manually updated: 2026-08-08

Backend engineering

Java/Spring services, APIs and integrations, data flow, Kafka, databases, reliability, tests and CI/CD.

Good fit: evolving a service, architecture review, integration work, a bounded technical audit or a focused remediation plan.

AI tooling

LLM/MCP integrations, developer tools and agentic workflows with explicit authority boundaries, validation and fallback behavior.

Good fit: when AI needs to become part of an engineering system rather than only a model demo.

Teaching & Mentoring

Java, Spring, backend, architecture, testing, code review and learning or portfolio projects.

Good fit: an individual review, development plan, project feedback or practical learning material.

How we work

Context & Scope. You describe the problem, desired outcome and constraints; we separate the required result from optional improvements.
Estimate & Implementation. Once the scope is clear, we agree on format and estimate, then work in small reviewable increments.
Handover. I transfer the result with verification steps and explicitly documented remaining risks.

Describe the task

Send the context, desired outcome and important constraints. I will reply directly and suggest the next useful step.

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Timing and cost are proposed after the outcome and scope are clear.

For relevant engagements I can work as a registered self-employed professional and provide a receipt.

Boundaries

I do not provide a fixed quote before the context and scope are understood.
I do not take unbounded “build anything” engagements without a defined outcome and acceptance criteria.
If a request is adjacent to these areas rather than an exact match, describe the actual constraint; the decision depends on context.