Bio
Ayush Rai is an AI Engineer with 2+ years of experience building production-grade LLM systems, AI agents, and RLHF pipelines. He works end-to-end across engineering, product, and architecture, focusing on latency, scale, cost, safety, and reliability while turning ambiguous problems into scalable AI systems.
He has built RAG pipelines, agentic workflows, tool-using systems, memory architectures, and evaluation frameworks, and has improved foundation model outputs at scale via OpenAI, Scale AI, Snorkel AI, and Turing.
His stack includes Python, FastAPI, Node.js, React, PostgreSQL, Redis, Docker, and Kubernetes, with strong expertise in system design, microservices, and GenAI workflows.
Ayush builds and ships full-stack AI products, combining strong technical execution with product thinking and clear communication.
Links: ayush-rai-work.netlify.app | github.com/ayushrai-hub | [email protected]