Arnav Agarwal

Background

About Arnav Agarwal

I’m a Lead AI Engineer who thrives on turning raw data into intelligent systems that feel almost human in how they work. Over the years, I’ve moved from building classical ML models to designing end-to-end LLM applications that power real-world search, discovery, and decision-making. At Medlr.in, I built AI systems that could understand medicines the way a pharmacist does — vectorising drug data, clustering it intelligently, and refining results through LLM-driven pipelines. It wasn’t just about search results, but about making sense of complexity in a way that feels natural and reliable for people who need it. Before that, at Accenture, I worked on projects where NLP and LLMs reshaped how businesses handled information — from claims processing in healthcare to smarter lead-scoring systems for one of the world’s biggest social platforms. I’m especially excited about the future of LLMOps, multi-agent AI, and RAG architectures — building systems that don’t just solve problems, but adapt, orchestrate, and evolve. For me, AI engineering is about more than models and pipelines; it’s about crafting intelligence that scales gracefully from idea to impact.