Field notes from building AI systems

Ideas are useful when they survive production.

Practical writing on retrieval-augmented generation, reinforcement learning, applied GenAI, and the engineering decisions behind scalable machine learning systems.

Architecture first, vendor choices second.

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About the author

Piyush Kuhikar

AI engineer and software builder focused on practical GenAI, retrieval systems, and production-grade ML workflows. I enjoy turning research ideas into robust systems, shipping measurable experiments, and writing about the engineering tradeoffs behind real-world AI products.