containerization , Tensorflow, Azure ML, MLops, Pytorch, Python, Prompt engineering, GenAI Agentic frameworks, GCP Vertex AI, Autonomous agents orchestration, AWS SageMaker, RAG pipelines, Multi-agent systems

Ml, Java, Postgres, Kafka, Hana, Python, Go, Ai, GRPC

Databricks, Kafka, Matlab, Azure DevOps, Jenkins, Spark, AWS Bedrock, Feast, Cloud native data platforms, Amazon Deequ, Data Architecture for AI, Azure OpenAI, DataHub, Apache Atlas, Power BI with Copilot, LangChain, CrewAI, LangGraph, GitHub Actions, Vertex AI, Great Expectations, Google ADK, Evidently, Confluent Kafka, AutoGen, Palantir Foundry

Microservices, Nosql, React, Docker, Api Management, Python, AWS, Java, Sql, MLops, Gcp, Databricks, FastAPI, Azure, Kubernetes, Airflow, AzureML, event-driven patterns, MLflow, Kubeflow, GenAI platform capabilities, LLMOps, Seldon, prompt engineering, cloud-native engineering, SageMaker, ADLS, RAG, Delta Lake

Ml, Python, LLMs, RAG, Ai

Java, Golang, Scala, Kotlin, Python, Sql, Go

.Net Core, React, Web Api, MS-SQL, RDBMS, Angular, Gen AI, Azure Service Bus, Microservices Architecture, RAG LLMs, prompt engineering