Backend engineering and practical AI adoption
I design and develop systems that need to run reliably beyond the demo. I also help companies adopt AI where it improves real workflows, products, and engineering teams.
I am a backend engineer who likes systems that are easy to understand, easy to test, and predictable in production.
I am most useful where the backend is more than an API layer: it supports real processes, integrations, and decisions that someone will need to maintain later. I care about code that does not surprise the team six months after release.
I have worked on production systems at Moss, Paramount, GomSpace, Swissquote, HL Tech, Aviva, and COI — across finance, backend platforms, and software connected with the space industry.
Backends that support real business processes, integrations, and operational requirements.
Environments where stability, auditability, and predictable releases are part of everyday engineering work.
Work on software for a domain where reliability and a clear system model matter more than a flashy presentation layer.
I help companies adopt AI in a practical way — without turning every workshop into a future-of-humanity slide deck. I am interested in AI that improves real workflows, supports engineering teams, and integrates with existing products.
Short notes on backend engineering, testing, CI/CD, Docker, JVM, and architectural decisions that help keep systems in good shape.
Read the blogGot a backend, testing, CI/CD, or production-maintenance topic? Send me an email. That is usually the simplest place to start.
adrianmichalik94@gmail.com