Nate River
Co-Founder & CEO at CAR CHECK.
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolNate River is a founder-CEO and engineer with nine years of experience building technology-driven businesses and contributing to open-source ML tooling. As Co-Founder & CEO of CAR CHECK in London since 2018, he blends product leadership with hands-on engineering sensibilities honed at ClearScore and through a Computer Science degree from Harvard. His open-source work on MindSpore projects shows practical ML engineering chops—adding activation functions and CUDA-optimized implementations—and a focus on improving test infrastructure and reliability as a QA/test automation contributor. That mix of startup leadership and low-level ML framework contributions gives him an uncommon ability to move between strategy, product execution, and the technical details that make systems robust.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Computer Science - BSC, Bachelor of Computer Science - BSC at Harvard University
Github Skills (16)
neural-network10
tensorrt10
min10
activation-function10
tensor10
deep-learning10
tensorflow10
pytest10
python10
operation10
testing10
linear-algebra9
cuda9
bash7
natural-language-processing5
Programming languages (7)
Github contributions (5)
mindspore-lab/mindnlp
Jun 2022 - Jan 2023
Easy-to-use and high-performance NLP and LLM framework based on MindSpore, compatible with models and datasets of 🤗Huggingface.
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:108 reviews, 48 commits, 1606 PRs in 7 months
Contributions summary:Nate's commits primarily involve removing redundant tests, refactoring the structure of folders, and implementing test functionality. They refactored existing tests and scripts for testing in different areas of the project and used `pytest` in the testing framework. This suggests a focus on improving test coverage, cleaning up the testing infrastructure, and verifying the functionality of different modules.
nlplarge-language-modelspythondeep-learningllm
mindspore-ai/mindspore
Jul 2021 - Jan 2023
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
Role in this project:ML Engineer
ML EngineerContributions:116 commits, 1 comment in 1 year 6 months
Contributions summary:Nate contributed to the MindSpore deep learning framework by implementing and integrating new activation functions, such as Threshold, and adding support for the BiDense layer. They also modified existing operations to utilize optimized CUDA implementations. Furthermore, the user addressed documentation issues related to the added functions and improved the overall usability of the framework. The user's contributions focused on extending the framework's capabilities for various deep learning tasks.
pytorchautomatic-differentiationdeep-learninginferencemachine-learning
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.