MCP (Model Context Protocol), Tcp, PostgreSQL, Containers, Concurrency, Ruby, Tls, Kubernetes, Anthropic APIs, Go, Security, HTTP 1.1, Deployment pipelines, JSON streaming, HTTP 2

API design, Data Architecture, Microservices, LLM integration patterns, Prompt engineering, Model-agnostic abstraction layers, Containerisation, RAG architectures

data engineering , ML Libraries (scikit-learn), Version Control (Git), PyTorch), Containerization (Docker), Deep Learning Frameworks (TensorFlow, Data Processing (pandas, Orchestration (Kubernetes), NumPy), Java, Spring Boot, Python, Machine Learning, Distributed Systems, Artificial Intelligence, Restful Services, Agentic AI, Microservices Architecture, API Design Principles, Event-driven Architectures

Machine Learning, Distributed Systems, Saas, tool integration, retrieval-based architectures, orchestration technologies, modern LLMs, prompt optimisation, Ai, AI agents, architectural standards

Cloud Architecture, Devops, Git, Pandas, MLops, Gcp, Docker, FastAPI, Azure, Python, vector search, reranking models, unstructured data embedding, LLM applications, Langfuse, RAG, document parsing

Incident Response, Elasticsearch, LangChain, CrewAI, Pipelines, Documentation, Agent Orchestration, analysis plan, agent-based modeling, Product Architecture, Workflow Orchestration, LangGraph, Design, Distributed Generation System Performance Monitoring Management, Operations, Haystack

Machine Learning, Artificial Intelligence, ELT, Gcp, Databricks, Azure, Etl, AWS, LangChain, CrewAI, multi-agent systems, data pipelines, data engineering workflows, workflow orchestration, model integration and orchestration, Agentic AI applications, agent frameworks, AutoGen, LangGraph, business intelligence solutions, AI agents, cloud-native platforms

Node.js, Python, API services, Go, LLM application development, vector databases, Monitoring, Caching, AI coding tools, performance optimization, RAG pipelines, Deployment

Tensorflow, Deep Learning, Databases, Pytorch, Docker, Python, AWS, Apis, Backend Development, MLops, Gcp, Machine Learning, Azure, Cloud-based application development, Application development using APIs and microservices, Hugging Face, Data processing and analytics, Responsible AI practices, LangGraph, Data pipelines, LangChain, Generative AI, Vector databases, AI security governance

Cloud deployment, Scalability, Gcp, System Design, Python, AWS, modern backend frameworks, LLMs, DevOps practices, Reliability, agent-based systems, multi-agent workflows, model optimization