RAG (Retrieval-Augmented Generation architecture, Responsible AI practices (guardrails, Java, Sql, Databricks, Spring Boot, Microservices, React, AWS, Oracle, Kubernetes, ECS, Graphql, Elasticsearch, Docker, MongoDB, EKS, Modern data platforms, Generative AI systems, Content Filtering, Infrastructure as Code, LLM evaluation frameworks, CI/CD pipelines

snowflake , Databricks, Java, Typescript, Kafka, MLops, Microservices, AWS, Python, Kubernetes, Docker, Spark, LLM solutions, Cloud Platforms, Semantic Kernel, Vector databases, LLMOps, LangChain, CrewAI, AI-assisted software development tools, Embeddings, Cybersecurity controls, Large-scale knowledge retrieval architectures, AI agents and agentic workflows, LangGraph, AI governance, AutoGen, Data sensitivity handling

Generative AI - Basic, closed models (azure open ai), Devops, AWS DevOps, Amazon Webservices DevOps, Technology, AI-Generative AI