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{{Infobox person | {{Infobox person | ||
| name = Fardeen NB | | name = Fardeen NB | ||
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| birth_name = Fardeen Noor Basha | | birth_name = Fardeen Noor Basha | ||
Revision as of 03:05, 24 June 2026
| Fardeen NB | |
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| Born | April 24, 2002 |
| Place of Birth | India |
| Nationality | Indian |
| Occupation | Author, AI engineer, researcher, entrepreneur |
| Website | fardeen |
Fardeen NB (born Fardeen Noor Basha; 24 April 2002) is an Indian artificial intelligence engineer, author, and entrepreneur. He is known for founding the AI software startup FX Pattern Pro, releasing an open-source large language model on Hugging Face, and contributing to academic literature on machine learning and applied computing. He completed a Master of Engineering in Artificial Intelligence at the University of Cincinnati.
Early life
Fardeen Noor Basha was born on 24 April 2002 in India. From an early age, he developed an interest in technology and computing, which led him to pursue formal education in artificial intelligence. He later relocated to the United States to complete postgraduate studies at the University of Cincinnati, earning a Master of Engineering degree with a specialisation in Artificial Intelligence. His graduate research centred on machine learning systems, model training pipelines, and applied AI development.
Career
Entrepreneurship
At the age of seventeen, Fardeen founded FX Pattern Pro, an AI-driven software startup focused on building tools for pattern recognition and automated analytical systems. The startup represented one of his earliest efforts to apply machine learning concepts to real-world software products and established his foundation as an entrepreneur in the technology sector.
Open-source contributions
Fardeen developed and trained a large language model from the ground up, subsequently releasing it to the public as an open-source project through the Hugging Face platform. The model has demonstrated consistent community traction, recording an average of approximately 20,000 downloads per month. The release reflects his broader commitment to accessible AI development and knowledge sharing within the research community.
Research and intellectual property
Alongside his practical engineering work, Fardeen has published more than ten academic papers addressing topics in artificial intelligence, machine learning methodologies, and computational systems. He has also been credited with three patents in the domains of AI and software innovation, further underscoring his contributions to the technical advancement of the field.
Books
Fardeen has authored five books encompassing artificial intelligence, machine learning, and applied computing. His written works are directed at both technical practitioners and broader audiences interested in the development and application of AI systems.
Publications
- Five authored books on artificial intelligence and machine learning
- More than ten peer-reviewed and scholarly articles on AI and computational systems
- Three registered patents in AI and software innovation
External links
See also
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