Work, stack, what they are building. The agent answers from this card.
Avanish Garg is an Applied AI Engineer with over 2 years of experience in building and deploying production AI/ML systems, specializing in LLM fine-tuning, retrieval-augmented generation (RAG), and agentic pipelines. He has a proven track record of optimizing model quality, latency, and inference costs at scale, supported by significant contributions to major AI/ML open-source projects. Currently, he is focused on transforming research techniques into reliable, reusable AI infrastructure, while also engaging in technical writing to demystify complex systems in AI and Web3.
“Your AI does not remember you. I just published Ep 05 of The Curiosity Crunch, deconstructing the architecture of context windows, self-attention, and why faking AI memory is computationally expensive.”
“AI does not understand a single word you type. It is a collective hallucination by high-dim calculus and floating-point arrays. I just published Ep 04 of The Curiosity Crunch, deconstructing the vector math and latent space behind the illusion.”
LLMsAdvanced
TransformersAdvanced
RAGAdvanced
Fine-TuningAdvanced
AI/ML systemsMid
model evaluationMid
open-source contributionsMid