Oleksii Kuchaiev
As of October 2026, Oleksii Kuchaiev is director of applied research for AI model post-training at NVIDIA. He earned a Ph.D. from the University of California, Irvine in 2010, with a dissertation titled Modeling and Alignment of Biological Networks. He co-authored Mixed Precision Training in 2017, a technique for training deep neural networks with half-precision numbers, and he was first author of the NeMo toolkit paper in 2019. Later he co-authored the Nemotron-4 340B technical report in 2024, Llama-Nemotron reasoning models in 2025, and PivotRL, a framework for agentic post-training, in 2026.
Timeline
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2010
A dissertation on biological networks
He earns a Ph.D. in information and computer science from the University of California, Irvine in 2010, with a dissertation titled Modeling and Alignment of Biological Networks.
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2014
A computational network toolkit
An Interspeech 2014 invited talk introduces the computational network toolkit (CNTK), a general-purpose C++ implementation of computational networks, and he is one of its co-authors.
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2017
Training with half precision
In 2017 he co-authors Mixed Precision Training, a technique for training deep neural networks with half-precision floating point numbers.
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2019
The NeMo toolkit
In 2019 he is the first author of NeMo, a framework-agnostic toolkit for creating AI applications from neural modules.
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2024
The Nemotron-4 340B family
The 2024 Nemotron-4 340B technical report, which he co-authors, releases the Nemotron-4 340B model family.
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2025
Llama-Nemotron reasoning models
Llama-Nemotron: Efficient Reasoning Models, a 2025 paper he co-authors, introduces an open family of reasoning models.
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March 2026
A framework for agentic post-training
In 2026 he co-authors PivotRL, a framework that combines the compute efficiency of supervised fine-tuning with the out-of-domain accuracy of reinforcement learning.
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As of October 2026
Director of applied research
He is director of applied research for AI model post-training at NVIDIA.
Sources and credits
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- Oleksii Kuchaiev - The Mathematics Genealogy Project
- Author: Oleksii Kuchaiev | NVIDIA Technical Blog
- ISCA Archive - An introduction to computational networks and the computational network toolkit (invited talk)
- [1710.03740] Mixed Precision Training
- [1909.09577] NeMo: a toolkit for building AI applications using Neural Modules
- [2406.11704] Nemotron-4 340B Technical Report
- [2505.00949] Llama-Nemotron: Efficient Reasoning Models
- [2603.21383] PivotRL: High Accuracy Agentic Post-Training at Low Compute Cost
- NVIDIA Nemotron Summit at NeurIPS