Hi, I'm Pushkar Raj, an AI Engineer specializing in Generative AI, Agentic AI, Large Language Models (LLMs), and enterprise-scale AI systems. Over the past several years, I've designed and built production-grade AI platforms that leverage multi-agent architectures, Retrieval-Augmented Generation (RAG), GraphRAG, long-term memory, and autonomous workflows. My work focuses on taking AI solutions from research to production, with an emphasis on scalability, reliability, and real-world business impact. I have hands-on experience building AI systems using LangGraph, LangChain, OpenAI/Azure OpenAI, Amazon Bedrock, FastAPI, OpenSearch, Neo4j, DynamoDB, Snowflake, Kubernetes (EKS), Terraform, and AWS cloud services. I enjoy solving complex engineering challenges involving LLM orchestration, agent memory, tool calling, observability, and production infrastructure. I'm passionate about helping engineers and organizations: Build production-ready RAG and Agentic AI systems Design scalable LLM architectures Optimize latency, cost, and inference performance Deploy AI applications on cloud infrastructure Prepare for AI/ML and GenAI engineering interviews Learn modern AI engineering best practices Whether you're just getting started with LLMs or scaling enterprise AI applications, I'd be happy to share practical insights, architecture guidance, and lessons learned from building production systems. Let's build the next generation of AI together.