Jan Rudolf
AI Engineer at IDC
Prague, Prague, Czechia
Summary
👤
Senior🎓
Top SchoolJan Rudolf is a Senior Software Engineer specializing in Generative AI with 10 years of experience building production LLM systems, distributed training pipelines, and optimized inference for real-world products. He combines deep theoretical grounding—published GPU-accelerated game-theory research with custom CUDA kernels—with hands-on systems work from x86 assembly to PyTorch training and TensorRT optimizations. At companies ranging from automotive autonomy projects to synthetic-media startups he has shipped multitask vision models, LLM-based generative pipelines, and tooling for scalable model training and deployment. Jan is an active open-source contributor (notably to DeepMind’s OpenSpiel) and brings a rare mix of low-level performance engineering and applied ML productization. His academic background (MSc in AI) underpins interests in active inference, multi-agent systems, and computational neuroscience that often inform pragmatic research-driven solutions. Based in Prague, he thrives at the intersection of theoretical depth and engineering pragmatism, optimizing both models and the systems that run them.
11 years of coding experience
9 years of employment as a software developer
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at Czech Technical University in PragueCharles University
English, Czech
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (11)
coregames10
c-language10
cprogramming-language10
videogames10
reinforcement-learning9
algorithms8
data-structures8
algorithm8
data-structure8
django6
python4
Programming languages (3)
Github contributions (5)
google-deepmind/open_spiel
Oct 2020 - Nov 2020
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 commits, 1 PR, 6 comments in 1 day
Contributions summary:Jan primarily contributed to the `matrix_game.h` file, implementing and modifying methods related to utility calculations within the game. This included adding methods to compute the utility sum and adding the `UtilitySum` abstract method for matrix games. The user also corrected a typo in a comment and added an override specification for the `UtilitySum` method. Additionally, they refactored to remove computation of utility sum from `matrix_game.h` and added the implementation into the `NormalFormGame` class.
reinforcement-learninggamesmultiagentcpppython
janrvdolf/tensorflow_example
Mar 2018 - Nov 2020
Contributions:1 PR, 5 pushes, 1 branch in 2 years 8 months
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