Machine Learning, Deep Learning, Tensorflow, Nlp, MLops, Pytorch, Gcp, Docker, Flask, FastAPI, Azure, Kubernetes, Python, AWS, Etl, LangChain, Generative AI, knowledge graphs, LLMs, vector databases, CI CD, OpenAI

MLops, Docker, Kubernetes, Python, LangChain, pgvector, AgentOps, LLMOps, vector databases, Pinecone, Azure OpenAI, Azure AI Foundry, Semantic Kernel, LangGraph, AutoGen, GCP Vertex AI, RAG, Azure AI, Azure AI Search, Weaviate

Azure, AWS, Microsoft Excel, Google Cloud, principles, Microsoft Power Point

Java, Gcp, Agile Methodologies, Scrum, Azure, Python, AWS, GenAI, messaging systems, cloud-native architecture, Safe, Ai, microservice-based architectures

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

Data Modeling, Artificial Intelligence, Requirements Management, System Integration, Solution Architecture, Data Analytics, Release Management, Generative AI, Design Applications, System Designs