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Hi šŸ‘‹, I'm Huzaifa Tahir

A passionate Machine Learning Engineer from Pakistan

huzaifa7524

huzaifa7524

  • šŸ”­ Iā€™m currently working on American High School Academy Student Chat With Curriculum

  • šŸŒ± Iā€™m currently learning AGI

  • šŸ‘Æ Iā€™m looking to collaborate on Machine Learning Engineer Projects

  • šŸ‘Øā€šŸ’» All of my projects are available at https://huzaifatahir.me/

  • šŸ“ I regularly write articles on https://medium.com/@huzaifatahir7524

  • šŸ’¬ Ask me about Machine Learning,Deep Learning, LLMs

  • šŸ“« How to reach me [email protected]

  • šŸ“„ Know about my experiences Resume

  • āš” Fun fact I think I am Funny

Connect with me:

huzaifatahir751 huzaifatahir7524/ huzaifatahir7524

Languages and Tools:

aws azure bash bootstrap chartjs css3 django docker gcp git heroku html5 jenkins kubernetes linux mssql mysql nginx opencv pandas postgresql postman python pytorch scikit_learn seaborn selenium tensorflow travisci

Support:

huzaifatahp



huzaifa7524

Ā huzaifa7524

huzaifa7524

Huzaifa Tahir's Projects

hum-kalam icon hum-kalam

Hum Kalam Chatbot is a practical application of the Pathways Language Model (PaLM), powered by its API key. It showcases the capabilities of PaLM in a conversational AI context, enabling users to engage in natural and meaningful conversations with the chatbot.

smart-content-accumulator icon smart-content-accumulator

Welcome to our Smart Content Accumulator website! We have developed a powerful tool that streamlines the process of obtaining summarized content from any article. With just a URL and a click of a button, our website generates concise and meaningful summaries, saving you valuable time and effort.

whisper_small_openai_finetuned_on_arabic_language icon whisper_small_openai_finetuned_on_arabic_language

Arabic Speech Recognition with Whisper: Fine-tune the Whisper model from OpenAI for Arabic speech recognition tasks. This repository provides scripts and resources for collecting, preprocessing, and fine-tuning an Arabic speech dataset, as well as evaluating and deploying the trained model for inference.

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