agent-flight-recorder
A flight recorder for AI agents – run a task N times in isolated E2B sandboxes, record every trace, measure pass rate, flakiness and cost per success, and diff the trajectories of two runs.
I build and ship complete products – working directly with clients from analysis and architecture through robust backends and AI integrations to polished frontend design.
A flight recorder for AI agents – run a task N times in isolated E2B sandboxes, record every trace, measure pass rate, flakiness and cost per success, and diff the trajectories of two runs.
Run the code blocks in your README and fail CI when the quickstart breaks. Zero-dependency CLI + GitHub Action with Docker and E2B sandbox runners, published on npm.
Run any MCP server inside an isolated cloud sandbox instead of on your machine – one command, no code changes. Removes the blast radius of untrusted agent tooling.
An open-source security auditor for AI agent configurations – finds inline secrets, unpinned supply chains, blanket permissions and prompt-injection surfaces before they hurt you.
Drop an AI agent session transcript into the browser and see what actually happened – tool-call timeline, where the time went, tokens, cost and failures. 100% client-side.
My master’s thesis: a web app that configures a neural network and a metaverse world that reads those parameters and builds a functional 3D model of the network – a “3D brain”.
A TypeScript monorepo platform for building AI-powered business applications – plugin architecture, typed APIs and a shared design system.
A production-style URL shortener built as a microservices system – cache-first redirects, stream-decoupled analytics and full observability, one command to run.
A data pipeline and calculator that finds profitable CS2 trade-up contracts – market data ingestion, probability model and a tested TypeScript core.
I'm a fullstack developer at NetGenium. I work across the whole lifecycle – sitting down with clients, analysing their needs, designing the solution, and then shipping it across frontend, backend and infrastructure. Over the past two years a growing part of that work has been bringing AI into our products and our own workflow.
Lately my focus is AI engineering: RAG pipelines over real client implementations, MCP servers, and automating processes that used to eat entire days – from customs clearance for the Czech Post to resolving client tickets, where the AI has the concrete codebase on hand and can find and fix the reported issue itself.
Jan 2021 – Present
Enterprise applications on a low-code platform, client delivery, and integrating AI into the company’s products and internal workflow.
Feb 2023 – Jun 2023
Research internship in Vienna during an exchange stay at TU Wien.
Jan 2018 – Dec 2020
Health centre
IT administration and support during university studies.
Sep 2019 – Jan 2025
Ing. (Master’s), Software Engineering
Included a research internship / exchange semester at TU Wien, Vienna.
Interested in working together, or just want to say hi?