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husayni/README.md

I am an MSc Artificial Intelligence candidate at Cardiff University with 4+ years of professional experience in Machine Learning. My background lies primarily in developing AI systems that utilize Computer Vision models and, building LLM-based Agents. I am also proficient in PyTorch, Docker, and cloud platforms such as AWS and Azure.

Few Projects I have built include:

  • Coding agent using Opensource LLMs (LLama3, Mistral)
  • Finetuning Llama3 for code generation tasks (using UnSloth)
  • Real-time Multi Camera Sports Car Tracking System (YOLO, KNN, ResNet)
  • Analyzing Vitiligo Progression overtime (using image processing, and YOLO)

Research Interests:

I am particularly interested in Explainability and Interpretability in AI.

I’m always open to collaboration, whether it’s discussing AI, MLOps, or just exploring new ideas in tech! Feel free to reach out or connect with me:

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  1. Normcore LLM Reads Normcore LLM Reads
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    # Anti-hype LLM reading list
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    Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts and experience preferred (super rare at this point).
    
              
    
              
    
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    [My own notes from a few months back.](https://gist.github.com/veekaybee/6f8885e9906aa9c5408ebe5c7e870698) 
    
              
    
          
    
    
    
  
    

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          annotated_deep_learning_paper_implementations  annotated_deep_learning_paper_implementations          Public
        
    
      
    

        
    
          Forked from labmlai/annotated_deep_learning_paper_implementations
        
    

      
    
        🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…
      
    

      
    
          
  
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          resume_builder  resume_builder          Public
        
    
      
    


      
    
        A Python package that generates professional PDF resumes from YAML files using Jake's LaTeX template. Define your resume content in simple YAML format and convert it to a polished, ATS-friendly PDF…
      
    

      
    
          
  
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