Tensorflow, Pytorch, Docker, Keras, Kubernetes, Python

Containers, Pytorch, Gcp, AWS, Kubernetes, Python, Azure, scikit-learn, ES|QL, Eland, Hugging Face, embeddings, ELSER, anomaly detection, hybrid search, prompt design, Elasticsearch inference NLP capabilities, LLM integration, vector search, ML libraries, Gen AI RAG, Elastic ML, data frame analytics, retrieval pipelines, Elastic Stack, Elasticsearch DSL, semantic search, Transformers

BigQuery, Google Cloud Platform, API design, REST, MLops, Docker, Iam, FastAPI, Kubernetes, Python, Gemini Enterprise Agent Platform, Cloud Functions, GRPC, Pub Sub, Cloud Run, GenAI applications, Vertex AI, GCS, RAG pipelines

Java, Devops, Docker, Terraform, FastAPI, Kubernetes, Python, LangChain, AzureML, GPU containers, Go, vector databases, IaC, Azure OpenAI, CUDA drivers, DevOps IaC, GitHub Actions, asyncio, Azure AKS, Pydantic, Bicep, Azure AI Search, LlamaIndex

Agile, Java, Tensorflow, Azure Machine Learning, Pytorch, Kubernetes, Python, Docker, Apis, Git, R, GPT, Hugging Face, AWS SageMaker, Data preprocessing, GCP AI platform, OpenAI API, Agentic AI, Generative AI, Transformers

Azure Cosmos DB, Azure Data Factory, Pyspark, SQL Server, Databricks, FastAPI, Python, Azure cloud technologies, Azure AI Search

bedrock , vertex , Python, Api Development, Pyspark, LangChain, OpenAI, CI CD pipelines, LangGraph, Transformers

Postgres, Sql, Typescript, Node.js, Kubernetes, Nosql, Python, Docker, Api Development, Data processing pipelines, Agentic AI MCP and agent orchestrations, Microservices architecture, Server-side caching mechanisms, DevOps practices, RESTful principles

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