ML Engineer – Specializing in Generative AI and Large Language Models (LLMs):- Retrieval-Augmented Generation (RAG): Enhanced retrieval-driven AI by integrating contextual data with generative models, optimizing accuracy and relevancy for complex queries.- Model Fine-Tuning and Inference Optimization: Fine-tuned large language models (LLMs) for specialized tasks, reducing inference latency and optimizing model performance for real-time applications.- Agentic Orchestration Frameworks: Developed multi-agent systems leveraging Langraph, LangChain, and similar agentic orchestration frameworks to create adaptive, interactive AI solutions.- LangChain and LLM Ecosystem: Built pipeline structures using LangChain to manage and deploy models with a focus on enhancing compatibility and scalability across various components.