Chandu Venigalla

Passionate about building cutting-edge AI/ML solutions with a focus on Multi-Agent Systems, Generative AI, and Machine Identity Management. Skilled in Retrieval-Augmented Generation (RAG) architectures, LLM fine-tuning, and Human-in-the-Loop (HITL) AI using Hugging Face APIs. 🚀 Key Areas of Interest: Conversational AI & LLMs – Architecting multi-modal AI agents using Claude, Llama, and Titan models. Multi-Agent Systems – Designing Chain of Agents for scalable and autonomous decision-making. Cloud AI & Edge ML – Deploying AI solutions on AWS, Bedrock, and serverless infrastructures. Generative AI & RAG – Enhancing AI reasoning and knowledge retrieval for enterprise applications. Security in AI – Ensuring AI trustworthiness, fairness, and compliance in financial and healthcare domains. Currently leading AI initiatives in wealth advisory and investment analytics, while actively exploring open-source AI development. Always eager to collaborate on innovative projects that push the boundaries of LLMs and AI personalization. 🌎 Let's connect! Open to discussions on RAG optimizations, LLM deployment strategies, and AI security frameworks.