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

bayesian inference , Sentiment Analysis, Tensorflow, Pytorch, Python, ML algorithms, LLMs, transfer learning, Hugging Face, text generation, language modeling, reinforcement learning, transformer architecture, R, Julia, Fine Tuning, Gen AI libraries, neural network frameworks, NLP techniques, OpenAI, RAG pipelines, NER

Api Integration, Quality assurance, Javascript, Databricks, Testing Frameworks, Python, Prompt engineering, Microsoft Foundry, Microsoft 365 Copilot, DevOps integration, Security and Responsible AI practices, Conversational AI design principles, Advanced RAG architectures, Workflow orchestration, Azure AI services, Copilot Studio

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

Version Control, Git, Python, AWS Bedrock, vector search, data pipelines, AWS serverless architecture, generative models, AI coding assistants, Azure OpenAI, GitHub Copilot, RAG, vector database

Azure, AWS, Pytorch, FastAPI, Python, Gcp, Git, Flask, LLMs, MLflow, Hugging Face Transformers, LangChain, Weights Biases, Generative AI, Transformers

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