Rinchin Damdinov
Machine Learning Engineer
Summary
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RockstarRinchin Damdinov is a Machine Learning Engineer with five years of experience focused on automating and optimizing model training pipelines. He contributes to open-source AutoML tooling—most notably improving hyperparameter tuning in the LightAutoML ecosystem by integrating Hyperopt and Optuna and refining search-space logic for boosting and random forest models. Hands-on with data science workflows, he combines a practical engineering mindset with experimentation-driven improvements that accelerate model selection. Colleagues would describe him as detail-oriented about tuning strategies and effective at turning optimization research into production-ready code.
5 years of coding experience
Github Skills (11)
hyperparameter-tuning10
machine-learning10
automated-machine-learning10
automl10
python10
optuna10
hyperopt9
regression8
data-science8
multiclass-classification8
binary-classification8
Programming languages (3)
Github contributions (5)
sb-ai-lab/LightAutoML
Apr 2022 - Jan 2023
Fast and customizable framework for automatic ML model creation (AutoML)
Role in this project:
Data Scientist
Data ScientistContributions:7 releases, 55 reviews, 41 commits in 9 months
Contributions summary:Rinchin's commits primarily involve modifications to hyperparameter tuning related files. These changes include adjustments to search space classes, implementation of `HyperOptTuner` using Hyperopt, and integrating Optuna for hyperparameter optimization. The user appears focused on improving the model training process within the AutoML framework, particularly in the area of hyperparameter tuning for the boosting and random forest models.
automlmlmodeldata-sciencemachine-learningpython
Darel13712/compare_metrics
May 2021 - Aug 2021
Contributions:74 commits, 1 push in 2 months
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