Git, Gcp, Azure, Python, AWS, LangChain, RAG systems, DevOps practices, Qdrant, vector databases, REST API design, Pinecone, LLM APIs, Chroma, FAISS, CI CD pipelines, Weaviate, LlamaIndex

Argo, MLops, Python, CrewAI, LangChain, Airflow, SFT, MLflow, AutoGen, LangGraph, Kubeflow, LoRA, QLoRA, LlamaIndex, RLHF

Graphql, Node, Rpc, Kafka, REST, Typescript, Docker, Sqs, Kubernetes, Python, LangChain, pgvector, JSON Schema, Pinecone, LangGraph, Zod, Pydantic, BullMQ, Weaviate

containerization , Java, Bi Tools, Dimensional Modeling, Gcp, Azure, Python, AWS, RAG architecture, MCP servers, NLP frameworks, Go, cloud-native deployments, vector databases, context memory management, semantic graph technologies, graph RAG, chain-of-graph, observability, identity as core agentic AI features

Machine Learning, cloud security, Api Development, PowerShell, Scalability, Nlp, High Availability, Azure Data Factory, Azure Functions, Databricks, Cosmos DB, Python, Azure DevOps, Azure ML Studio, Cognitive Services, Azure SQL Database, Model deployment using AKS, AI solution architecture, Deep Learning on Azure, Azure CLI, Microsoft Azure AI Platform

Machine Learning, Tensorflow, Nlp, Pytorch, Docker, AWS, Gcp, Python Programming, Rest Apis, Azure, Vector search, Prompt engineering, Data preprocessing, Microservices architecture, Feature engineering, Embeddings, Inference workflows, Agent-based workflows, AI services APIs, RAG pipelines, Large Language Models, LangChain, LLMs, Elastic OpenSearch, FAISS, Embedding models, Tool integrations, Google ADK, Model evaluation

containerization , Apis, Tensorflow, MLops, Pytorch, Python, LangChain, Generative AI, RAG systems, Hugging Face, vector databases, prompt engineering, LLM fine-tuning, transformer architectures, LlamaIndex

composer , Tensorflow, Dataproc, Machine Learning, BigQuery, Pytorch, Artificial Intelligence, Kubernetes, Python, Docker, Gcp, LangChain, LLM lifecycle management, Scikit-learn, RAG architectures, LangGraph

Kotlin, Cursor, React, Typescript, Python, LangChain, embeddings, LLMs, Claude, industrial data, prompt engineering, AI ML Engineering, supply chain data, Knowledge Graph, Code Copilot