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Revision as of 10:08, 15 June 2026 by Shovon (talk | contribs) (Created page with "{{Infobox person | name = Fardeen NB | image = File:Fardeen NB.jpeg | caption = | birth_name = Fardeen Noor Basha | birth_date = 24 April 2002 | birth_place = India | nationality = Indian | education = Master of Engineering in Artificial Intelligence, University of Cincinnati | occupation = AI engineer, researcher, entrepreneur | known_for = FX Pattern Pro, open-sourced LLM, academic publications, patents | website...")
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Fardeen NB (born Fardeen Noor Basha; 24 April 2002) is an Indian AI engineer, researcher, and entrepreneur known for his work in machine learning systems, applied artificial intelligence, and software development. He is associated with several technical projects, including a startup and open-source contributions in the field of large language models.

Early life and education

Fardeen NB was born in India. He pursued higher education in artificial intelligence and completed a Master of Engineering in Artificial Intelligence at the University of Cincinnati, where he focused on machine learning systems, model training, and applied AI research.

Career

FX Pattern Pro

In 2019, he launched a software startup called FX Pattern Pro, aimed at developing AI-assisted tools for pattern recognition and automated analysis systems. The project marked his early entry into entrepreneurship and applied software development.

Research and AI development

Fardeen has worked on training a large language model from scratch and released it as an open-source project on Hugging Face. The model reportedly receives an average of around 20,000 downloads per month, reflecting strong community usage and interest.

Alongside his engineering work, he has authored more than 10 scholarly articles, contributing to topics in artificial intelligence and computational systems.

He has also been credited with 3 patents related to AI and software innovation.

Publications

Fardeen has written 5 books and over 10 academic papers covering artificial intelligence, machine learning methodologies, and applied computing.

Online presence

Fardeen maintains an active professional presence across multiple platforms:

  • Official website
  • LinkedIn profile
  • Google Scholar profile

See also

  • Artificial intelligence
  • Large language models
  • Machine learning