I build AI systems that hold up in production, and I check their work before anyone else has to.
Ten years in software, from developer to tech lead to founder. Four of those years were on GitHub's developer platform as a vendor contractor. First I led the team of six that owned the setup actions (setup-node, setup-python, setup-dotnet, setup-go, setup-java) used in millions of CI pipelines. Then, as Codespaces Tech Lead, I owned CI/CD and infrastructure as code for environment provisioning and designed AI agents that converted and validated infrastructure templates behind automated compliance gates.
As IBM QMF Product Owner through Teracloud, I designed the AI integration for a rebuild over a Fortune 500 database: agents inside the client's firewall so the data never left it, and a metadata layer that let the AI build custom reports on a schema it had never seen.
Today I work as a Senior AI/LLM Engineer on a production LLM product, and I run my own company, where I built EditWise, a multi-tenant SaaS on .NET 10, Next.js and Azure. I rebuilt its backend with an AI pipeline I designed: the spec as data, expert skills that carry my architecture rules, a check after every stage, AI code review on every pull request. First full pass in about a week, against a six-month estimate by hand.
Looking for senior AI/LLM engineering or technical lead roles, fully remote from Serbia.