Python, Azure, AWS, Docker, Kubernetes, Llm

Tensorflow, Numpy, Pytorch, Gcp, Pandas, Docker, Azure, Python, Kubernetes, AWS, LangChain, Hugging Face, MLflow, OpenAI APIs, Transformers

Python, LangChain, AI Agents, Vector databases, AI memory frameworks, LangFlow, Generative AI architectures, Agentic AI systems, LangGraph, semantic search, Embedding models, Tool calling frameworks, MCP Server implementation, Function calling, RAG pipelines, Memory sharing architectures, Multi-agent orchestration

.Net Core, SQL Server, Okta, Azure Ad, Sonarqube, Azure, Azure DevOps, GenAI, Cloud Native development, Github Copilot, MFA, CI CD, RAG

Gcp, Databricks, Azure, Python, AWS, embeddings, LLaMA, Crew.ai, A2A Agent-to-Agent, Claude, model orchestration, prompt engineering, AutoGen, LangGraph, custom agent evaluation frameworks, MCP Model Context Protocol, Mistral, OpenAI, Gemini, LlamaIndex, synthetic datasets

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

Tensorflow, Gcp, Pytorch, Azure, Python, Computer Vision, AWS, Generative AI technologies, Machine Learning techniques

Docker, Api Integration, MLops, Python Programming, Kubernetes, AWS Bedrock, multi-agent orchestration, semantic retrieval systems, Azure OpenAI, LangGraph, GraphRAG, Vector Databases, Embeddings, Vertex AI, Machine Learning fundamentals, LangChain, Tool Function Calling, LLM optimization, Generative AI, RAG architecture, Semantic Kernel, AutoGen, MCP Model Context Protocol, Agentic AI, AI evaluation observability, AI solution development, Prompt Engineering, Knowledge Graphs

data engineering , Deep Learning, Tensorflow, Pytorch, Nlp, Api Development, Cloud Computing, Python, ML Ops, Model Optimization

Tensorflow, MLops, Gcp, Pytorch, Docker, Azure, Kubernetes, Python, AWS, vector databases, LLM APIs, RAG