Typescript, Distributed Systems, Python, AI ML frameworks

RAG (Retrieval-Augmented Generation), Amazon S3, Python, Api Gateway, Aws Lambda, Dynamodb, Devops, MLops, Rest Apis, Pinecone, Amazon SageMaker, OpenSearch, LangGraph, Vector Databases, Embeddings, Multi-Agent Systems, Microservices Architecture, semantic search, Knowledge Retrieval, ChromaDB, LangChain, Amazon ECS, Generative AI, LLMs, AWS Cloud Services, Agentic AI, FAISS, Amazon Bedrock, Prompt Engineering

vertex , bedrock , Docker, Pyspark, Python, LangChain, LangGraph, Transformers, OpenAI, CI CD

Machine Learning, Tensorflow, Nlp, Pytorch, Python, Deep Learning, Vector DB, Hugging Face, Chatbots, Quantization, Claude, Pinecone, Mistral, ChromaDB, LangChain, PEFT, RAG AI Agents, Tools, FAISS, LoRA, Llama, Transformers, OpenAI, Fine-tuning, Gemini, Generative AI LLMs

Machine Learning Algorithms, Cloudformation, Jenkins, Gcp, Docker, Terraform, Gitlab, Databricks, Azure, Kubernetes, Python, AWS, Model deployment, Data preprocessing, Data engineering pipelines, Model versioning, Feature engineering, ML frameworks and libraries, Machine learning lifecycle

Cloud platforms (preferably Azure), Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Rest Apis, Python, LangChain, Structured and unstructured data processing, Modern AI application architectures, Vector databases, Security, Azure OpenAI, Semantic Kernel, GitHub Copilot, Embeddings, Microsoft Copilot, AI governance, Responsible AI, Prompt Engineering, Model evaluation

PowerShell, Azure Databricks, Bash, Terraform, Docker, Microsoft Azure, Azure Machine Learning, Kubernetes, Python, Azure DevOps, Git workflows, AKS, Azure OpenAI, Azure AI Foundry, GitHub Actions, Microsoft Fabric

Tensorflow, Cloud Services, Pytorch, Azure, Python, Sql, AWS, data pipelines, MLOps practices, scikit-learn, gradient boosting methods

Tensorflow, Pytorch, Docker, Keras, Kubernetes, Python

Google Cloud Platform (GCP), Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), Agent Development Kits (ADKs), Sql, MLops, Python, LangChain, embeddings, SLM APIs, LangGraph, AutoGen, Vertex AI, IBM WatsonX, OpenAI, LlamaIndex, CI/CD for ML