Api Integration, Python, LLMs, agentic frameworks, fine tuning techniques, AI ML frameworks, Planning Systems, ethical AI principles, AutoGen, LangChain, reasoning algorithms, CrewAI, safety mechanisms, reinforcement learning, tool augmentation, prompt engineering

GenAI, Agentic, LangChain Ecosystem, Classical ML

Sql, Data Factory, MLops, Etl, Nosql, REST, Azure ML, Data Lineage, Azure Functions, FastAPI, Python, Kubernetes, Docker, LLMs, AKS, ModelOps, Synapse, embeddings, CI CD, Weaviate, LoRA, Azure AI, LangChain, Pinecone, LangGraph, Milvus, KeyVault, GRPC, vector DBs, data privacy controls, Azure OpenAI GPT, RAG architectures

data engineering , Machine Learning, MLops, Natural Language Processing, Algorithm Design, Deep Learning, Cloud Platforms, AI Ethics, Python Programming Language, Generative AI LLMs

Python Scripting, Terraform, MongoDB, Cosmos DB, Secretless Authentication, Entra ID, Langchain, API Variant, Azure PaaS Stack, Managed Identities, semantic kernel, Zero-Trust Topologies, Private Networking, AI LLM Gateway Experience, CI CD, Azure Operations, GitHub Actions, Langgraph, AI frameworks, Enterprise level Observability

Api Integration, Python, LangChain, CrewAI, ethical AI principles, reasoning algorithms, Planning Systems, reinforcement learning, AutoGen, LLMs prompt engineering, tool augmentation, fine-tuning techniques, safety mechanisms, agentic frameworks, AI ML frameworks

graph databases , Databricks, Tensorflow, MLops, Machine Learning, Pytorch, Neo4j, Advanced Analytics, Keras, AWS, Spark SQL, Python, Azure, Nlp, LangChain, LLMs, LlamaIndex, DGL, LLMOps, embeddings, RAG, model lifecycle management, knowledge graphs, Scikit-learn, vector databases, semantic search, generative AI, prompt engineering

Java, Google Cloud, Azure, Kubernetes, Python, AWS, LangChain, GoogleADK, multi-agent architectures, Go, event-driven architecture, Langraph