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Achievement: Pair Extraordinairex3Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLO

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antmikinka/README.md

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About Me

Building local-first AI and agent systems

Open source developer passionate about making AI accessible to everyone.

  • 🎓 B.S. Data Science @ Arizona State University (expected May 2027)
  • 💼 Ex AMD - Agentic AI R&D Intern (Jan–Aug 2026)
  • 🚀 Built Lemonade Interviewer for AMD's Lemonade SDK — open-source local AI platform for running LLMs, image generation & speech on your own GPU/NPU
  • 🤝 Open source AI, edge inference, and agent orchestration

Publications

arXiv: Universal Conditional Logic

GitHub Stats

GitHub Stats

Top Languages

GitHub Streak

Tech Stack

C++ TypeScript Python AMD

Connect

Hugging Face LinkedIn

🚀 Building Local AI for Everyone.

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  1. Optimization Guidelines for the Appl... Optimization Guidelines for the Apple Neural Engine (ANE)
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    Comprehensive Optimization Guidelines for the Apple Neural Engine (ANE)
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    Tensor Considerations:
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    Shapes: Utilize tensor shapes that are powers of 2 (e.g., 2, 4, 8, 16) to enhance memory allocation and access.
    
              
    
              
    
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    Sizes: Keep tensor sizes small, aiming for multiples of 16 (e.g., 16, 32, 48, 64) to optimize memory usage.
    
              
    
          
    
    
    
  
    

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          AppleNeuralEngine-Kit  AppleNeuralEngine-Kit          Public
        
    
      
    


      
    
        (WIP) LLM Optimization for Apple Neural Engine
      
    

      
    
          
  
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          bmad-code-org/BMAD-METHOD  bmad-code-org/BMAD-METHOD          Public
        
    
      
    


      
    
        Breakthrough Method for Agile Ai Driven Development
      
    

      
    
          
  
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          Universal-Conditional-Logic  Universal-Conditional-Logic          Public
        
    
      
    


      
    
        
      
    

      
    
          
  
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        a teaser of what may be coming ;)
      
    

      
    
          
  
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