Python, LangChain, Google, Generative AI, pgvector, Qdrant, summarisation, text generation, vector databases, Anthropic, Pinecone, Classification, agentic workflows, LLM APIs, OpenAI, RAG pipelines, Weaviate, question-answering systems, LlamaIndex

AWS EKS, Docker, FastAPI, Python, Kubernetes, LangChain, LangGraph, Strands, ADK

Azure Cloud Services, Python, LangChain, AI Agents, GenAI Prompt Engineering, LLMs, vector databases, Pinecone, Azure OpenAI, Semantic Kernel, FAISS, RAG, ChromaDB

Java, Api Integration, Typescript, Gcp, System Design, Azure, Python, AWS, Prompt engineering, pgvector, Vector databases, Go, Generative AI LLM application development, Pinecone, agentic workflows, RAG, AI agents, Weaviate, LLM evaluation, LLM-powered application feature

software engineering practices , Testing, Microservices, Git, Rest Apis, Python, LangChain, Generative AI, AI safety guardrails, AI agent architectures, vector databases, Semantic Kernel, LangGraph, Agentic AI concepts, AI agents, function tool calling, RAG pipelines, LLM-based applications, responsible AI practices, Prompt Engineering, LlamaIndex, LLM evaluation, observability

Sql, Pytorch, Databricks, FastAPI, Python, LangChain, hybrid RAG architectures, model fine-tuning, RRF, vector databases, MLflow, Azure OpenAI, dense retrieval, LangGraph, BM25, FlashRank, Ollama, reranking, Milvus, Microsoft Graph API

Python, Sql, Git, Rest Apis, LangChain, RAG workflows, LlamaIndex, prompt engineering

Vector databases (Pinecone, Spark), FAISS), GCP), Cloud platforms (AWS, Data engineering tools (Airflow, Github, Git, Python, Azure, Generative AI Concepts, ML Ops practices, Prompt frameworks, Weaviate, Embeddings, dbt, CI/CD workflows

Tensorflow, Pytorch, Pyspark, Python, Sql, vector databases, document chunking strategies, Hugging Face Transformers, data embedding techniques, Generative AI Frameworks, Microsoft Azure OpenAI, Amazon Bedrock