Vector Databases Pinecone Weaviate ChromaDB Milvus FAISS etc., Python, Generative AI GenAI, Retrieval-Augmented Generation RAG, Software Engineering Best Practices, Prompt Engineering, Large Language Models LLMs, LangChain LlamaIndex Semantic Kernel, REST APIs Integration

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

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

snowflake , Apis, Python, data pipelines, agentic AI frameworks, RAG systems, LLM orchestration frameworks, observability and logging tools, AWS cloud services, microservices-based architectures, prompt engineering

unstructured data , Tensorflow, Microservices, Pytorch, Docker, Python, AWS, Apis, Gcp, Data Governance, Kubernetes, Content Filtering, scikit-learn, cloud GenAI platforms, vector databases, structured data, Security, model evaluation, retrieval pipelines, observability, Hugging Face ecosystem, LLMs, performance profiling, ML AI libraries, inference cost optimization, Azure AI Services, Garak, moderation systems, RAG, feature engineering, privacy best practices

containerization , Api Development, Gcp, Docker, Azure, Kubernetes, AWS, distributed computing frameworks, AI ML architectures, MLOps practices, LLM-based solutions, integration pipelines, CI CD pipelines, Large Language Models

Neural Networks, Deep Learning, Tensorflow, Pytorch, Opencv, Python Programming, Computer Vision, Agentic AI systems, AI orchestration frameworks, Generative AI, Prompt engineering, AI Copilot development, LLMs, Vector databases, RAG pipelines, Transformer architectures

business workflows , Containers, Nlp, Databases, Testing, Python, Ml, Applications, Apis, Version Control, Git, Computer Vision, Retrieval, Prompt engineering, Deployment, Security, Privacy, Vector Databases, Embeddings, ML lifecycle, Human-in-the-loop processes, Data pipelines, RAG pipelines, Grounded responses, Monitoring, Generative AI, LLMs, Data ingestion, AI agents, Responsible AI, Model evaluation

Api Development, Python, Pinecone, RAG, LangChain, Prompt Engineering, FAISS