Rastislav Rabatin
Machine Learning Engineer at JetBrains
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolRastislav Rabatin is a Machine Learning Engineer based in London with a decade of experience building and productionising ML systems across NLP, TTS, computer vision and bioinformatics. He has delivered LLM and code-generation tooling at scale (most recently at JetBrains and previously at Meta), and has deep hands-on experience with PyTorch/TensorFlow, Hugging Face, and ML infra including Spark, Presto and FBlearner Flow. He designs and ships performant model-serving microservices (REST, gRPC, Thrift) on AWS/GCP/Azure and has practical on-device/embedded Linux and Android deployment experience. Early work spans Alexa NLU/TTS and large-scale data pipelines at Amazon and Google, reflecting a strong foundation in both research and engineering. He also contributes to open-source documentation (notably improving SymPy’s custom printing docs), showing attention to clarity that complements his engineering rigor. Settled in the UK, he brings cross-language fluency (Python, Go, C++ and JavaScript) and a track record of optimising real-world ML pipelines from data prep to constrained decoding and inference.
10 years of coding experience
7 years of employment as a software developer
Gunderson High SchoolGymnázium Jura HroncaMaster's degree Computer Science, Master's degree Computer Science at Comenius University
Slovak, English, German, Czech
Stackoverflow
281reputation
24kreached
0answers
1question
Github Skills (7)
python10
documentation10
computer-algebra-system9
computer-algebra9
latex8
ssh6
google-colaboratory6
Programming languages (3)
Github contributions (5)
sympy/sympy
Jun 2017 - Dec 2017
A computer algebra system written in pure Python
Role in this project:
Technical Writer
Technical WriterContributions:12 commits, 1 PR, 19 comments in 6 months
Contributions summary:Rastislav significantly contributed to the documentation within the `sympy/sympy` repository. The commits focused on improving the examples and explanations related to custom printing methods within the SymPy library. The changes included refining the code examples, correcting typos, and reorganizing the documentation structure for better clarity, ensuring the documentation accurately reflects the functionality and usage of the library's printing features. These efforts enhanced the user experience and provided clearer instructions on extending the printing capabilities of the library.
computer-algebra-systempythonmathcomputer-algebrascience
rasto2211/nanopore-read-align
Mar 2016 - Jun 2016
Contributions:172 commits, 86 pushes, 1 branch in 3 months
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