Java, Node.js, Redis, MLops, Azure Functions, Cosmos DB, Python, LangChain, LLMs, cloud-native architecture, vector embeddings, vector databases, Azure Container Apps, LangGraph, agentic workflows, AI orchestration platforms, Azure AI Search

snowflake , Azure Functions, FastAPI, Cosmos DB, Python, LangChain, LangGraph, SQL databases, Azure OpenAI

Java, C++, Google Cloud, Enterprise Security, Iam, Azure, Python, AWS, LangChain, GoogleADK, cloud-native DevOps practices, Go, A2A protocols, rbac, sandboxing, Langraph

Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Flask, FastAPI, Python, LangChain, LangGraph, Agentic AI, Embeddings, Prompt Engineering, Vector Search

Microservices, Tensorflow, Pytorch, Python, Apis, Functions, Azure ML, Azure, Qdrant, vector databases, Pinecone, CI CD, MLOps practices, LLM-powered applications, NLP pipelines, Hugging Face models, LangChain, Azure OpenAI GPT-based APIs, traditional ML techniques, Cognitive Services, AKS, Semantic Kernel, FAISS, Milvus, Weaviate, LlamaIndex

Cloud Services, Automated Testing, Sql, Git, Technical Documentation, system integration, Docker, Solution Design, Rest Apis, Python, Kubernetes, CI CD tools

Large Language Models (LLMs), risk management, AI ethics, accountability principles, AI governance frameworks, transparency, fairness, designing and implementing mitigation strategies for AI bias, collaborating with cross-functional teams, Responsible AI, compliance requirements

probability , triton , Jax, Tensorflow, Pytorch, Docker, Ml, Azure ML, MLops, Kubernetes, TD3, DL, TensorRT, CNNs, ONNX, ppo, Optimization, linear algebra, CQL, Transformers, Ai, sequence models, SAC, RL, CI-CD