Aleksey Grinchuk
Research Scientist
California, United States
Summary
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RockstarAleksey Grinchuk is a Research Scientist at NVIDIA with 11 years of experience building backend systems and machine learning components for large-scale generative AI and speech models. Based in California, he contributes to the prominent open-source NeMo framework, implementing Transformer modules, language-model components, loss functions, and data layers that enable ASR, TTS, and NMT workflows. His work bridges research and production: he develops core neural modules while also shipping practical examples and postprocessing pipelines that accelerate real-world adoption. Known for focusing on robust, reusable components, he brings a pragmatic engineering mindset to complex model architectures and training pipelines.
11 years of coding experience
Github Skills (14)
neural-network10
transformer-models10
pytorch10
deep-q-learning10
nlp10
deep-learning10
large-language-models10
python10
generative-ai10
natural-language-processing10
machine-translation9
freetts8
gtts8
asr8
Programming languages (3)
Github contributions (5)
NVIDIA-NeMo/Speech
Sep 2019 - Aug 2022
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:29 reviews, 26 commits, 33 PRs in 2 years 11 months
Contributions summary:Aleksey's commits primarily involve the development and modification of neural network modules, loss functions, and data layers within the `nemo_nlp` package. Their work included the creation and modification of various modules such as Transformer encoders/decoders, language model components, and loss aggregation functions. Additionally, the user contributed to examples for tasks like ASR postprocessing and NMT, showcasing practical application of the framework.
aiautomatic-speech-recognitiongenerative-ailarge-language-modelsmultimodal
AlexGrinch/ro_sgns
Apr 2017 - Apr 2018
Implementation of Riemannian optimization for skip-gram negative sampling (ACL 2017)
Contributions:104 commits, 92 pushes, 1 branch in 1 year
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