Mikołaj Bocheński
Founding AI Engineer at Truth Systems
Krakow, Lesser Poland Voivodeship
Summary
🤩
Rockstar🎓
Top SchoolMikołaj Bocheński is a founding AI engineer and self-taught researcher with eight years of experience building production-ready machine learning and research systems across startups and industry, including Microsoft and medical imaging at ScreenPoint Medical. He blends hands-on engineering with academic depth from KTH and Jagiellonian University, working on everything from reactive notebook internals (Pluto.jl dependency/reactivity modules) to test automation for BigInteger.js. Comfortable moving between research, product and automation, he’s tackled reinforcement learning in finance, recurrent nets for audio, and deep learning for cancer diagnosis—preferring the velocity of startups where he has repeatedly taken ideas into deployed features. Pragmatic and efficiency-minded (never spend 5 minutes on something you could spend 5 hours automating), he brings a rare mix of curiosity, production QA rigor, and a knack for making complex systems predictable.
8 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Artificial Intelligence, Bachelor's degree, Artificial Intelligence at Radboud UniversityMaster's degree, Machine Learning, Master's degree, Machine Learning at KTH Royal Institute of TechnologyBachelor's degree, Artificial Intelligence, Bachelor's degree, Artificial Intelligence at Uniwersytet Jagielloński w Krakowie
English, Polish, German
Github Skills (18)
unit-testing10
notebook10
javascript10
testing10
reactivity10
randomization10
julia10
typescript9
typescript-types9
typescripts9
algorithm7
algorithms7
data-structure7
data-structures7
ed255195
Programming languages (8)
Github contributions (5)
fonsp/Pluto.jl
Feb 2020 - May 2020
🎈 Simple reactive notebooks for Julia
Role in this project:
Back-end Developer
Back-end DeveloperContributions:26 commits, 22 pushes, 6 branches in 2 months
Contributions summary:Mikołaj primarily contributed to the development of a reactive notebook environment for Julia, focusing on the core logic for dependency tracking and reactivity. Their contributions included the creation of modules for dependency analysis (`Depend.jl`), reactivity management (`React.jl`), and the integration of these features within the main application (`Saturn.jl` and `Pluto.jl`). They also worked on improving the output display and error handling within the notebook.
designed-for-teachersjulia-languagenotebookplutonotebooks
peterolson/BigInteger.js
Sep 2019 - Sep 2019
An arbitrary length integer library for Javascript
Role in this project:QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:6 commits, 1 PR, 1 comment in 1 day
Contributions summary:Mikołaj focused on enhancing the testing capabilities of the `biginteger.js` library. They added support for testing predictable random number generation within the library, specifically for the `randBetween` and `isProbablePrime` functions. Furthermore, the user added test cases to verify the behavior of these functions given a predictable random number generator, and fixed TypeScript definitions to align with the updated code. These additions significantly improve the reliability and predictability of the library.
integerjavascriptbigintegerarbitrarylength
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