Vansh Choudhary

Software Engineer focused on building backend infrastructure, distributed systems, and AI-powered developer platforms. I enjoy designing systems that are scalable, fault-tolerant, and production-ready—from real-time communication platforms to AI infrastructure and deployment pipelines. Over the past year, I've built production backend services involving event-driven architectures, low-latency APIs, distributed workers, containerized deployments, and AI-powered applications. My work spans Redis, Kafka, RabbitMQ, Kubernetes, Docker, AWS, WebRTC, and modern LLM technologies including RAG and Model Context Protocol (MCP). I enjoy solving challenging engineering problems around scalability, reliability, system design, observability, and developer experience. I'm particularly interested in building infrastructure that powers AI agents, real-time systems, and cloud-native applications. Expertise • Distributed Systems & Backend Engineering • AI Infrastructure (LLMs, RAG, MCP) • Event-Driven Architecture (Kafka, RabbitMQ) • Real-Time Communication (WebRTC, Socket.IO, Mediasoup) • API Design & Microservices • Containerization & Cloud Infrastructure (Docker, Kubernetes, AWS) • Caching & Messaging (Redis) • Database Design (MongoDB, PostgreSQL) • Observability & Developer Tooling Technologies Languages: TypeScript, JavaScript (ES6+), Java, C Backend: Node.js, Express.js, REST APIs, WebSockets AI: OpenAI, Gemini, RAG, MCP, Vector Search Databases: MongoDB, PostgreSQL, SQL Infrastructure: Redis, Kafka, RabbitMQ, Docker, Kubernetes, AWS (EC2, S3, ECR) Frontend: React.js, Next.js, Tailwind CSS, Redux I'm always interested in discussing distributed systems, backend architecture, AI infrastructure, and building software that solves real-world engineering challenges.