Martin Kunz
Data ScientistPragueMember since June 26, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
easy8-mcp-releases
May 29, 2026 – Present
Public release artifacts for easyproject-mcp-server
View ProjectPromptBench.jl
August 11, 2025 – November 24, 2025
PromptBench.jl is a Julia package for benchmarking AI models on prompt-based tasks, focusing on zebra puzzles. It provides tools to evaluate and compare different prompting strategies across various language models.
View ProjectMakieMaestro.jl
October 23, 2024 – Present
A framework to use Makie.jl in Documenter.jl documentation, Pluto.jl and to create publication quality figures with ease and consistency in theming and sizing
View ProjectSUJBot
October 16, 2024 – December 18, 2024
"Ask not what your country can do for you – ask what you can do for your country."
View ProjectSIMReconstruction.jl
October 29, 2023 – October 29, 2023
Julia package implementing reconstruction algorithms for structured illumination microscopy
View ProjectTransferFunctions.jl
July 18, 2023 – September 22, 2025
TransferFunctions.jl is a Julia package for computing optical transfer functions, including point spread functions (PSF) and optical transfer functions (OTF). It offers tools for image filtering, restoration, and synthetic data generation in microscopy and optics.
View Projectnord.nvim
March 3, 2021 – June 24, 2024
Nord.nvim is a serene, Arctic-inspired colorscheme for Neovim featuring a carefully curated palette of 16 colors. It provides syntax highlighting for over 30 programming languages and seamless integration with popular Neovim plugins.
View Projectnvim-dots
February 4, 2021 – Present
NeoVim configuration written in Lua, that strives to be well organised, non-bloated but functional and well documented.
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and highly specialized, focusing on niche areas like Neovim configuration and Julia packages for scientific computing. While demonstrating deep technical interest, there is no evidence of team collaboration, open-source contributions beyond personal projects, or engagement with broader community initiatives. This makes it difficult to assess cultural fit for a collaborative team environment. The projects show a strong inclination towards independent, deep technical work.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects are primarily personal and do not provide insight into collaboration, communication, or problem-solving in a team setting.