AWS, Pytorch, AWS Clarify, Retrieval-Augmented Generation, AWS AgentCore, AutoGen, semantic search optimization, GenAI, Agentic technologies, vector stores, LangGraph, embeddings

Machine Learning, AWS, Pytorch, AWS Clarify, Retrieval-Augmented Generation, semantic search optimization, vector stores, GenAI, embeddings, Guardrails, AutoGen, AWS AgentCore, LangGraph

API design, Sql, Nosql, MLops, Openshift, FastAPI, Python, multi-agent systems, Generative AI, LLMs, RAG frameworks, vector databases, MLflow, Azure OpenAI, AWS SageMaker, Kubeflow, AI ML frameworks

snowflake , Microservices, Sql, Gcp, Docker, Azure, Python, Kubernetes, AWS, LangChain, embeddings, RAG function tool calling orchestration, Vector databases, retrieval evaluation, CI CD, prompt engineering, LangGraph, LLM agentic solutions, dbt, Cloud-native architecture, LlamaIndex, observability

Pytorch, Generative AI, Parallel Processing, GPU cluster architecture, Model deployment and optimization techniques, Megatron-LM, Megatron-Bridge, AutoModel

data engineering , Java, Ml, Cloud Architecture, Scala, Kafka, Sql, Gcp, MLops, Databricks, Azure, Python, AWS, Airflow, Generative AI, LLMs, Ai, AI Governance, MLflow, dbt, RAG