Ayush Rai is an AI Engineer with 2+ years of experience building production LLM systems, AI agents, and RLHF pipelines. He works end-to-end across engineering, product, and architecture, focusing on practical production concerns such as latency, scale, safety, cost, and reliability, and turning unclear problems into scalable AI systems used in real-world settings. Work: - Builds production-grade LLM and GenAI systems, including RAG pipelines, agentic workflows, tool use, memory, and evaluation - Works deeply on AI alignment and RLHF across reward modelling, preference learning, data quality, and evaluation rigour. - Ships full-stack AI products end-to-end, owning APIs, backend systems, infrastructure, frontend, deployment, and scale. - Approaches problems as systems, balancing scale, latency, security, reliability, and robustness. - Improved foundation model outputs at scale via OpenAI, Scale AI, Snorkel AI, and Turing through partner programs.
