Ayush Rai

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. Skills: - AI / LLM / GenAI: LangChain, LangGraph, OpenAI API, embeddings, tool and function calling, RAG systems, memory design, AI agents, multi-agent orchestration, prompt engineering, model evaluation, feedback loops, production GenAI workflows - Backend: Python, Node.js, FastAPI, Flask, Django, PostgreSQL, Redis, microservices, async systems, API design, latency optimisation, concurrency, fault tolerance - Frontend: React, JavaScript, TypeScript, AI product dashboards, developer-facing interfaces - Cloud & DevOps: Docker, Kubernetes, GitHub Actions, CI/CD, deployment, scaling, monitoring, rollback strategies - Architecture & CS: System design, scalability, high availability, HLD, LLD, DSA, operating systems, computer networks, DBMS -Security: API security fundamentals, SQL injection prevention, common backend attack surfaces Beyond code, Ayush brings clear technical communication, strong problem-solving, and leadership in high-ownership environments, with solid product and UX intuition for real-world AI systems. He is currently building AI products and infrastructure while offering hands-on AI systems consulting, focusing on advanced LLM evaluation, multi-agent coordination, Model Context Protocols, and AI infrastructure and MLOps at scale. He believes the future belongs to engineers who think like architects, ship like founders, and understand systems deeply, and he is building toward that future one production system at a time. https://ayush-rai-work.netlify.app/ | https://github.com/ayushrai-hub | ayushrai0211@gmail.com