Nripesh Niketan
Chief Executive Officer at CrossGL
Sheffield, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolNripesh Niketan is a tech-driven CEO and machine learning engineer based in Sheffield with four years of hands-on experience building ML infrastructure, developer communities, and automation systems. Holding advanced degrees in Cybersecurity and AI, he has led cross-functional teams at startups and open-source projects, notably contributing Apple Silicon acceleration and new activation layers to MLX and expanding Ivy's Paddle frontend. He combines product leadership at CrossGL with practical engineering — from creating a Python code reformatter and multi-threaded web scrapers to automating Oracle workflows and ETLs that saved weeks of manual effort. As Developer Relations Lead he grew and managed volunteer programs of 85+ contributors, instituted recognition systems, and served as the primary liaison between external contributors and core engineers. Comfortable bridging research and production, he brings both PhD-level AI ambition and pragmatic automation skills to scale developer-facing platforms. Peeling back the cover, he’s as likely to prototype a new neural layer as he is to design the community processes that make open-source projects sustainable.
4 years of coding experience
1 year of employment as a software developer
Heriot-Watt University Edinburgh CampusDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at University of LeedsMaster of Science - MS, Cybersecurity and Artificial Intelligence, Master of Science - MS, Cybersecurity and Artificial Intelligence at The University of Sheffield
Stackoverflow
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541reached
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Github Skills (12)
neural-network10
ivy10
paddle10
machine-learning10
activation-function10
python10
integrations10
pandas6
twitter6
tweepy6
jax5
tensorflow5
Programming languages (8)
Github contributions (5)
ml-explore/mlx
Dec 2023 - Feb 2025
MLX: An array framework for Apple silicon
Role in this project:
ML Engineer
ML EngineerContributions:17 reviews, 28 PRs, 48 comments in 1 year 2 months
Contributions summary:Nripesh primarily contributed to the implementation and testing of new activation functions, including Softsign, Softmax, Hardswish, and LogSoftmax, within the MLX framework. Their work involved adding the functional equivalents and module implementations, modifying existing activation functions, and writing associated unit tests. Furthermore, the user added the Dropout3d layer, providing crucial functionality for 3D data processing. The commits demonstrate a focus on expanding the framework's capabilities for neural network layer support and testing.
mlx
ivy-llc/ivy
May 2023 - Aug 2024
Convert Machine Learning Code Between Frameworks
Role in this project:ML Engineer
ML EngineerContributions:46 reviews, 445 PRs, 223 pushes in 1 year 3 months
Contributions summary:Nripesh contributed to the implementation of Paddle frontend functionality within the Ivy framework. They added support for mathematical operations such as 'add', 'subtract', and 'multiply' within the Paddle frontend. Further contributions included the addition of 'sign', 'asinh' and 'prod' functions. Moreover, the user was involved in implementing the 'roll', 'unstack', and the documentation of 'finfo' and 'iinfo' from Jax.
pythontensorflowframework-learningtemplatedata-science
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