graph databases , Databricks, Tensorflow, MLops, Machine Learning, Pytorch, Neo4j, Advanced Analytics, Keras, AWS, Spark SQL, Python, Azure, Nlp, LangChain, LLMs, LlamaIndex, DGL, LLMOps, embeddings, RAG, model lifecycle management, knowledge graphs, Scikit-learn, vector databases, semantic search, generative AI, prompt engineering

FastAPI, API design, Devops, Testing, Python, Terraform, clean architecture, RAG fundamentals, LLMOps, Bedrock AgentCore, Packaging, observability, AWS Strands SDK

Java, Google Cloud, AWS, Enterprise Security, Python, Azure, Iam, Go, Langraph, GoogleADK, LangChain, rbac, A2A protocols, sandboxing, cloud-native DevOps practices

Kafka, Sql, Rest Assured, Mq, Java, Gradle, Bdd, Linux, Nosql, Python, Tdd, Jenkins, Git, Restful Apis, Cucumber BDD, Playwright

SAS, Random Forest, Svm, Python, R, Segmentation, Forecasting, prediction modeling, machine learning techniques, lisrel

snowflake , Databricks, Data Lineage, Data Governance, data quality frameworks, financial services investment operations, data modernization, regulatory reporting platforms, cloud-based data and reporting platforms, financial reporting, data platforms, reporting automation, AI-enabled reporting capabilities, enterprise reporting