Ayush Gandhi

I’m a DAIICT graduate (2026) with hands-on AI engineering experience across LangGraph agents, RAG systems, and LLM prompt pipelines. I’m obsessively interested in building technology that removes friction from people’s lives, and I deliver at a pace that surprises teams.

At MAQ Software Associate Software Engineer (Jan 2026 – Present), I designed and developed a modular Hospital Management System from scratch. I architected scalable backend services using FastAPI and async SQLAlchemy, and I built AI-powered features like RAG-based knowledge retrieval, prompt optimization, and agentic workflows to automate clinical and operational tasks.

I also focused on prompt orchestration strategies—creating dynamic prompt templates and chaining logic that adapts LLM responses to user input context and task requirements. This helped improve response consistency, latency, and token utilization while handling varying query types.

My projects reinforce the same mindset: shipping production-style systems with grounded, agentic AI. For example, ACMP uses a LangGraph multi-agent workflow with RAG (ChromaDB + sentence-transformers) and real-time WebSockets updates, while DeliverEat and ShopIn build full-stack delivery and e-commerce experiences with authentication, role-based modules, and performance-focused UX.