Tensorflow, Numpy, Pytorch, Docker, XGBoost, Python, Pandas, MLops, Azure Machine Learning, scikit-learn, vector databases, Azure AI Foundry, LangGraph, Azure AI Search, Application Insights, LangChain, experiment tracking, RAG architecture, LLMOps, Azure OpenAI Service, LightGBM, embedding models, Semantic Kernel, CI/CD pipelines, Azure AI Content Safety, Azure App Service Functions

software engineering practices , Apis, MLops, Microservices, Python, DataOps, LLMOps, architecture patterns, AI architectures, prompt engineering, cloud-native development

Summarization, Python, RAG components, LLM pipelines, citation grounding

snowflake , Spark SQL, Pyspark, Databricks, Azure, Python, embeddings, LLM API integration, API integration patterns, vector databases, cloud-native delivery, CI CD, prompt workflows, Delta Lake, agent orchestration

production readiness , Python, ML training and evaluation workflows, scalable system design, data pipelines, GenAI LLM application development, deployment observability, model pipelines, APIs and backend services, ML LLM framework

Numpy, Pandas, Gcp, FastAPI, Azure, Python, AWS, GenAI, embeddings, LLMs, prompt engineering, RAG

Java, API design, Docker, Kubernetes, Python, LangChain, CrewAI, AWS Bedrock, pgvector, Qdrant, Go, Pinecone, OpenSearch, AutoGen, LangGraph, LLM orchestration frameworks, Weaviate, LlamaIndex, Claude SDK

Java, Ml, Devops, Gcp, Python, AWS, generative AI, Go, Ai, Security, infrastructure as code, observability

Rest Apis, MLops, Gcp, Flask, Microservices, AWS, FastAPI, Python, Azure, Docker, AWS Bedrock, Tool Calling, LLMs, OpenAI, Gemini, LLMOps, Azure OpenAI, CI CD, LangChain, AI Agents, RAG, pgvector, Pinecone, LangGraph, Claude, ChromaDB, Vector Databases, Agentic AI, FAISS, Generative AI, Qdrant

Git, Testing, LangChain, Knowledge retrieval systems, Prompt engineering, RAG systems, Vector databases, Development frameworks and tools, Advanced Python programming, LLM optimization techniques, Embedding models, RAG pipelines