Generative AI (GenAI), Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Apis, Containers, Python, Microservices, LangChain, AutoGen, LangGraph, Cloud-native deployments

Pyspark, Spark SQL, RAG implementation, vector databases, MLflow, Claude, Pinecone, Azure OpenAI, LLM APIs, Google Vertex AI, ChromaDB, Azure AI Search, fine-tuning techniques, LangChain, PEFT, Databricks platform, Databricks Mosaic AI, Databricks Vector Search, Anthropic, prompt engineering, Semantic Kernel, Unity Catalog, Langgraph, FAISS, LoRA, Delta Lake, OpenAI, Weaviate, QLoRA

Test Strategies, Automation Frameworks, Python, Kubernetes, Distributed microservice architectures, GraphQL APIs, CI/CD pipelines, ArgoCD, Test infrastructure

Scalability, Backend Development, Gcp, Docker, System Design, Azure, Python, Kubernetes, AWS, LangChain, cloud platforms, Pinecone, LangGraph, Vector Databases, FAISS, CI CD pipelines, LLM architectures, RAG pipelines, Weaviate

C++, Power Bi, Jira, Grafana, Tensorflow, Jenkins, Git, Pytorch, Docker, Terraform, Keras, Azure Machine Learning, Python, Kubernetes, Azure DevOps, Azure Resource Manager, MLflow, GitLab CI/CD, R

C#, ALM, Data Analytics, Apis, Power Automate, Json, Microsoft 365, Python, test-management platforms, Claude ChatGPT, CI/CD concepts, Microsoft Copilot

Java, Ml, Algorithms, C++, Microservices, REST, Docker, System Design, data structures, Python, Kubernetes, Go, GRPC, Llm

Cloudformation, Apache Spark, Prometheus, Grafana, Tensorflow, Jenkins, Git, Gcp, Pandas, Pytorch, Terraform, Docker, Ansible, Databricks, Azure, Kubernetes, Python, AWS, MLflow, GitHub Actions, Kubeflow, GitLab CI CD