Romain Keramitas
Data Scientist
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolRomain Keramitas is a Data Scientist with 8 years of experience applying an applied mathematics background from CentraleSupélec to real-world ML, data processing and engineering problems. Based in Paris, he has built end-to-end data solutions, moving models from research prototypes into production and handling the surrounding Python-focused software engineering and DevOps tasks. His strengths lie at the intersection of mathematical modeling and pragmatic engineering, enabling robust pipelines and scalable ML workflows. Colleagues appreciate his ability to translate statistical insight into maintainable code and automated data infrastructure. Though his public GitHub footprint is concise, his career emphasizes production readiness and cross-functional collaboration rather than purely academic outputs. He brings a practical, systems-minded approach informed by rigorous mathematical training.
8 years of coding experience
Engineer's degree, Applied mathematics, Engineer's degree, Applied mathematics at CentraleSupelec
English, French
Github Skills (104)
cpython10
python10
pypy10
deep-learning10
duplicate10
transformer10
nlp10
sequence-labeling10
pure-python10
tensorflow10
natural-language-processing10
version-control10
pytorch10
machine-learning10
word-embeddings10
Programming languages (10)
Github contributions (5)
r0mainK/ml
Feb 2018 - Sep 2018
sourced.ml is a library to build and apply machine learning models on top of Universal Abstract Syntax Trees
Contributions:2 PRs, 227 pushes, 51 branches in 6 months
syntax-treesnaive-bayesmachine-learningapplyon-top
src-d/tm-experiments
Jun 2019 - Aug 2019
Topic Modeling Experiments on Source Code
Contributions:121 commits, 54 PRs, 27 pushes in 2 months
nlppythonmachine-learningtopic-modelingmodeling
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