Numerical methods
Numerical analysis that started in Matlab and Octave and lives on in numpy and scikit.
Work
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2025 – now
Distributed Systems Engineer · RTB House
Core Engineering team.
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2023 – 2025
Software Engineer · Goldman Sachs
Risk Division. Full stack in Java and React on top of cluster computing and big-data workloads.
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2022
Engineering Intern · Goldman Sachs
Observability for credit-risk infrastructure: Prometheus metrics, Grafana dashboards, SLOs and alerting.
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Studies
Computer Science · University of Warsaw
Master's degree. Coding since primary school, and a finalist of the Polish Junior Olympiad in Informatics along the way.
Projects
Built
Master's thesis · solo
Lindenmayer systems
Growing plants and fractals from string-rewriting grammars, rendered with computer graphics and parallel computing. The plant at the top of this page is one of them.
Interpreter · soloJabba the Lang
My own imperative programming language, designed and interpreted from scratch.
Desktop app · with a classmateMatrix Busters
A matrix calculator that shows its work, rendered with LaTeX.
Framework · student teamKava
A Java web framework built from first principles. My parts: the servlet container Arabica and the logger Lungo.
Contributed to
Bachelor's thesis · student team with JetBrains
Rust in Bazel BSP
Our team added Rust support to JetBrains' Bazel Build Server, from rules_rust all the way into IntelliJ IDEA.
Open source · contributorSIO2
A programming-contest platform. I worked on its infrastructure: helped move it from Gerrit to GitHub, set up CI on GitHub Actions, upgraded Django and introduced Cypress end-to-end tests.
Interests
Computer graphics
3D scenes with OpenGL and GLSL, and fractals that grow from a handful of rules.
Parallel & big data
CUDA and MPI for raw compute, Spark and HDFS when the data no longer fits on one machine.
Languages I've shipped code in: Java, Kotlin, Rust, C, C++, Python, TypeScript, Haskell, OCaml — and, voluntarily, Prolog.