Data Pipelines Data Lakehouse and Data Mesh, API Design and Enterprise Integrations, Cloud Architecture AWS Azure GCP, Security Governance and Cost Optimization, AI ML Generative AI and Large Language Models LLMs, Retrieval-Augmented Generation RAG and AI Agents, MLOps CI CD Model Registry and Model Observability

S3, Lambda, Docker, Sqs, Sns, Python, Kubernetes, AWS, LLM evaluation and observability tooling, LangGraph, ETL optimization, Agentic AI LLM applications, RAG architectures

Tensorflow, Linux, Rest Apis, Pytorch, Git, FastAPI, Python, Kubernetes, Docker, Generative AI, vLLM, Prompt Engineering, Llama, Fine-Tuning LLMs, LangChain, Pinecone, Embeddings, DeepSeek, CI CD pipelines, Mistral, Ollama, LangGraph, Milvus, ChromaDB, Scikit-learn, Retrieval-Augmented Generation RAG, Hugging Face Transformers, Vector Databases, Qwen, FAISS

Distributed Computing, Pytorch, Docker, Python, Cuda, MLops, Kubernetes, Hugging Face Transformers, model parallelism, speculative decoding, SGLang, inference runtimes, GPU memory management, performance benchmarking, quantization, continuous batching, KV-cache optimization, TensorRT-LLM, LLMOps, vLLM, LLM GenAI model inference optimization, NCCL, Transformer architectures, GPU computing

S3, Lambda, Docker, Sqs, Sns, Kubernetes, Python, AWS, LLM evaluation and observability tooling, LangGraph, ETL optimization, Agentic AI LLM applications, RAG architectures

Sql, Data Factory, MLops, Etl, Nosql, REST, Azure ML, Data Lineage, Azure Functions, FastAPI, Python, Kubernetes, Docker, LLMs, AKS, ModelOps, Synapse, embeddings, CI CD, Weaviate, LoRA, Azure AI, LangChain, Pinecone, LangGraph, Milvus, KeyVault, GRPC, vector DBs, data privacy controls, Azure OpenAI GPT, RAG architectures

AWS EKS, Kubernetes, semantic search concepts, Claude API, LLM systems, retrieval-augmented generation, LLM evaluation frameworks, prompt engineering, SRE or observability domains, embedding models

circuit breakers , triton , Load Balancing, observability, context handling, fallback strategies, WebSocket streaming, intelligent request routing, inference pipelines, AI model serving frameworks, scaling ML AI inference, asynchronous multi-agent orchestration, in-memory CDN, real-time communication protocols, AI inference optimisation, credit data retrieval, async event-driven architectures, message queues, batching, model quantisation, caching strategies, conversation state management, TensorFlow Serving, caching strategies Redis

Microservices, Gcp, FastAPI, Rest Apis, Azure, Python, production-quality systems, AI LLM integrations, Anthropic, prompt engineering, OAuth 2.0, OpenAI