Welcome to the beginning of something I’ve been meaning to create for a while now. This blog isn’t just a place for me to jot down ideas; it’s where I’ll document the journey of one of my most exciting and ambitious projects yet—building a modular, hardware-optimized pipeline for deploying AI models on embedded devices, specifically the ESP32-P4.
Why start this blog? Because every idea has a story. Behind every success, there’s a messy, challenging, thrilling process, and I want to share that with you. Whether it’s digging into pruning algorithms, wrestling with assembly code, or pushing MLIR to its limits, this space is where I’ll talk about it all. The highs, the lows, the breakthroughs, and the setbacks.
Here’s what I’m kicking off with: a dream to turn AI models into lean, efficient systems that can run on devices no one expects. It’s not just about cramming models onto tiny hardware; it’s about rethinking how we optimize and deploy AI to make the impossible possible. And, of course, learning (and sharing) every step of the way.
To anyone reading this: thanks for joining me at the start of this adventure. Let’s see where it takes us!
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