Tensorflow, Pytorch, Python, LangChain, Gen AI, Agentic AI, Azure AI Stack, AWS Gen AI

Ml, Machine Learning, Distributed Systems, Nlp, MLops, Kubernetes, Python, AWS, LangChain, Generative AI, Cloud-native application development, LLMs, AI Agents, Data Pipelines, RAG systems, Ai, Agentic AI applications, production AI systems, LangGraph, Vector Databases, Microservices Architecture, Statistical Modeling

AWS, RAG vs alternative architectures, CI CD and DevSecOps pipelines, workflow-based AI systems, cost-efficient AI usage, model orchestration layers, API-first and service-oriented architectures, cross-functional engineering teams, production-ready AI systems, prompt engineering, context injection patterns, responsible AI principles, Core AI ML Skills, event-driven and serverless patterns, large-scale document pipelines, cloud platform engineering, Python development skills, Infrastructure-as-Code, NLP concepts, end-to-end AI platforms

bedrock , Json, Nosql, Lambda, Python, Api Gateway, Dynamodb, Sql, Jenkins, Xml, Rest Apis, LangGraph, high-performance large-scale AI ML systems, cloud-native architectures, ChromaDB, LangChain, CrewAI, AWS ML services, Generative AI, AI model risk management, PGVector, prompt engineering, SageMaker, FAISS

Git, Rest Apis, Python, LangGraph, Vector Databases, Agentic AI, Azure AI Foundry, Microsoft Copilot Studio

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

Azure Sql, Cosmos DB, Kafka, Azure Functions, Python, Semantic Kernel, Application Insights, Service Bus, Event Grid, Azure Monitor, Azure OpenAI Service, Azure API Management, Azure AI Foundry, Agentic frameworks, ML frameworks, AutoGen, LangChain, Azure AI Search, Container Apps, Azure AI Agent Service, CrewAI, Azure Event Hubs, LangGraph

Generative AI Solutions, End-to-End ML Deployment, Distributed Cloud Systems, Graph ML, Big Data Platforms, SDLC Ownership