Python, CrewAI, LangChain, LangGraph, Agentic AI frameworks, vector databases, embedding models, LlamaIndex, RAG architectures

Spark, Databricks, Sql, Numpy, Pandas, Nltk, AWS, Python, Azure, Nlp, RAG pipelines, T5, GPT, Scikit-learn, Jupyter, FLAN, LLAMA, Mistral, Generative AI

Pci Dss, Schema, Data Security, Machine Learning, Compliance, metadata

Java, Kafka, Python, Neo4j, Spark, LangChain, Milvus, LlamaIndex, LlamaParse, Haystack, Unstructured.io, Weaviate, AWS Textract, Pinecone, Chroma, LayoutLM, AWS Neptune

FastAPI, Aws Lambda, Flask, Serverless Architecture, Claude APIs, Generative AI LLM Integration, LlamaIndex, Vector Databases, LangChain, Prompt Engineering, RAG Architecture, Amazon Bedrock

Sql, Deep Learning, Tensorflow, Pytorch, Keras, Groovy, Machine Learning Algorithms, FastAPI, Python, Docker, Jenkins, MongoDB, LLMs, OpenAI, feature engineering, scikit-learn, data preprocessing, Azure OpenAI, Weaviate, Meta Llama, LangFuse, LangChain, Pinecone, LangGraph, Vector Databases, FAISS, Anthropic Claude

bedrock , S3, Emr, Tensorflow, Lambda, Gcp, ECS, Spark, Azure, AWS, scikit-learn, Machine learning algorithms in PyTorch, OpenSearch Service, Pinecone, OpenSearch, EKS, Vector stores, SageMaker, FAISS, Retrieval systems, Milvus, Weaviate, Open-source frameworks

Java, Testing, Microservices, Git, Docker, Kubernetes, Python, LangChain, RAG systems, Crew.ai, cloud-native architecture, embedding models, vector databases, knowledge retrieval systems, prompt engineering, Autogen, LLM optimization techniques, async programming, RAG pipelines