About the Author

Noll

From the bleeding edge of AI research to the front lines of a venture-backed startup, this is a chronicle of what it takes to build with Large Language Models.

My name is Noll. I navigate the intersection of academic research and real-world application in the field of Artificial Intelligence. By day, I serve as the CTO for an AI startup, which has successfully secured over **$10 million in funding** to push the boundaries of what's possible.

My work is grounded in a deep technical foundation, evidenced by research papers published at **top-tier AI conferences** and a major **open-source project I lead, which has garnered over 10,000 stars on GitHub**. This background shapes my current focus: pioneering research and application in **personalized Large Language Models and the architecture of LLM memory**.

Why This Blog Exists

The AI landscape is filled with noise. Theoretical knowledge is abundant, but actionable, battle-tested insights from the trenches are scarce. This blog is my attempt to bridge that gap. I write about the challenges, the breakthroughs, and the practical realities of developing and deploying LLMs—from low-level performance optimization to high-level product strategy.

My goal is to share the hard-won knowledge that typically remains locked within research labs and corporate walls. Here, you will find:

  • **Deep Dives:** In-depth analysis of emerging architectures and optimization techniques, backed by reproducible benchmarks.
  • **Case Studies:** Real-world examples and post-mortems from projects I've led, detailing what worked, what didn't, and why.
  • **Practical Guides:** Step-by-step tutorials on implementing a complex concept, from custom CUDA kernels to advanced fine-tuning strategies.

My Philosophy

I believe in rigorous, evidence-based discourse. Every technique shared here is backed by data, every opinion is rooted in experience. The mission is to create a resource that is not only insightful but also trustworthy and immediately useful for fellow builders, researchers, and engineers.

Thank you for joining me on this journey. Let's build the future, one line of code at a time.