Rohith Sadanala

I’m working on production-grade LLM systems, RAG pipelines, and multi-agent workflows that power real-world applications. From designing scalable backend services to orchestrating agentic systems that interact with tools and APIs, I focus on turning AI from a demo into something reliable, fast, and useful at scale.I’ve worked across high-scale environments, building systems that handle tens of thousands of requests per second with low latency. My work spans LLM evaluation, fine-tuning, prompt optimization, and distributed system design, along with the full stack needed to ship and monitor these systems in production.What I enjoy most is solving the gap between AI capability and real-world usability, reducing hallucinations, improving reliability, and making systems that can operate autonomously in complex workflows.Technically, I work with LLM frameworks like LangChain and LangGraph, build RAG pipelines with vector databases, and design backend systems using Python, Go, and modern cloud infrastructure (AWS, Docker, Kubernetes). I’m comfortable owning systems end-to-end from architecture to deployment to iteration.I completed my Master’s degree in Computer Science from the University of South Florida and a Bachelor’s degree from SRM IST Chennai. I am currently an AI Software Developer at micro1. My work focuses on architecting and deploying AI and LLM-based systems, fine-tuning advanced models, and applying reinforcement learning techniques to improve decision intelligence.At micro1 and ColomboAI, I contribute to building advanced AI and multi-agent systems, orchestrating action-oriented automation, and enhancing operational intelligence.