scalable architecture , data engineering , Microservices, System Design, Python, Apis, LLM orchestration, modern data platforms, Analytics, security governance, LLMs and GenAI applications, observability considerations for AI systems, vector databases, embeddings, data pipelines, backend systems, RAG architectures, AI engineering

data engineering , Machine Learning, Cloud Services, Microservices, AI Architecture

Scalability, AWS, Apis, MLops, Gcp, System Design, Fault Tolerance, Azure, LLM-based systems, context design, vector databases, agentic orchestration frameworks, LangGraph, tracing tools, backend systems, RAG architectures, LangChain, CrewAI, Generative AI, LLMOps, cloud platforms, event-driven architectures, embedding models, prompt engineering, AutoGen, async workflows, performance optimization, Cost Optimization

Gcp, Azure, Python, AWS, LangChain, GenAI tools, LLMs, microservices architecture, MLOps tools, ML frameworks

Generative AI frameworks, AI ML frameworks, Security Protocols, data compliance frameworks, prompt engineering, vector databases, embedding models

Cloud and hybrid infrastructures architecture designs, Data security measures and compliance regulations, Database migrations

Apis, Oauth2, Cloudformation, Microservices, New Relic, Cloudwatch, Terraform, Splunk, Containers, AWS, LangChain, CrewAI, Bedrock AgentCore SDK, Strands SDK, agent frameworks, enterprise identity and security patterns, infrastructure-as-code, API gateways, cloud-native architectures, X-Ray, Kong