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

AWS, Pytorch, Retrieval-Augmented Generation, AWS AgentCore, AutoGen, GenAI, AWS Clarify, LangGraph

Machine Learning, Application Performance, Java, Microservices, Scalability, Devops, Containers, React, Node.js, Kubernetes, Python, Apis, Javascript, infrastructure as code, Reliability, AI services, cloud cost optimization, observability

Microservices, Application Performance, Scalability, React, Software Architecture, Javascript, Python, Databases, Java, Data Services, Machine Learning, Apis, Testing, Node.js, System Design, Containers, Kubernetes, Reliability, scalable cloud applications, enterprise integrations, Distributed Applications, Security, observability, cloud cost efficiency, messaging systems, DevOps practices, full-stack software engineering, Production Operations, infrastructure as code

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

Kubernetes, Java, Scalability, Containers, React, Machine Learning, System Design, Node.js, Data Services, Javascript, Databases, Application Performance, Microservices, Testing, Python, Software Architecture, Apis, messaging systems, Security, scalable cloud applications, DevOps practices, cloud cost efficiency, infrastructure as code, Reliability, Production Operations, full-stack software engineering, observability, Distributed Applications, enterprise integrations