Ruslan Mavlyutov
IOS Developer at Mercury Development, LLC
United States
Summary
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Rockstar🎓
Top SchoolRuslan Mavlyutov is an iOS developer with over two years focused on mobile engineering and a long history in software leadership dating back to a decade-plus as a lead software engineer. Currently at Mercury Development, LLC, he brings practical experience shipping iOS features and maintaining production apps while drawing on deep systems and team leadership skills from his prior role at ООО "Спектран". He has contributed to high-profile open research code in multilingual and multimodal translation—tweaking fine-tuning and dataset preparation for Facebook Research’s Seamless Communication project—showing an appetite for ML-adjacent engineering. Based in the United States with technical roots from Saratov State University, Ruslan blends hands-on development with an appreciation for data and model workflows that improve real-world apps. Colleagues describe him as a developer who moves comfortably between app-level polish and the scripting/automation that keeps ML and data pipelines reliable.
2 years of coding experience
10 years of employment as a software developer
Saratov State University named after N.G.Chernyshevsky
Github Skills (6)
machine-translation10
machine-learning10
pytorch10
python10
data-engineering10
nlp9
Programming languages (2)
Github contributions (3)
facebookresearch/seamless_communication
Aug 2023 - Aug 2024
Foundational Models for State-of-the-Art Speech and Text Translation
Role in this project:
ML Engineer
ML EngineerContributions:61 reviews, 24 PRs, 34 pushes in 11 months
Contributions summary:Ruslan focused on modifying and refining scripts related to model finetuning and dataset preparation within the context of a multilingual and multimodal machine translation model. They updated the setup configuration, adjusted the default finetuning model, and corrected import statements. The changes included re-enabling unit extraction in the dataset preparation script and updating author and URL information. The user's commits are centered around core aspects of model training and data handling within the project.
facebookresearch/fairseq2
Nov 2023 - Jul 2024
FAIR Sequence Modeling Toolkit 2
Contributions:4 reviews, 1 PR, 1 push in 8 months
artificial-intelligencedeep-learningmachine-learningpythonpytorch
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