Docker, Python, Microservices, Kubernetes, agentic systems, LLMs, RAG, event-driven systems, CI/CD, vector databases

Model Context Protocol (MCP), Agent2Agent (A2A), Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Microsoft Azure, Python, GitHub Copilot, RESTful API design, AI ethics and regulations, AI frameworks

Databricks, Azure, Python, Transformers, faiss, GenAI libraries, Lang chain, privacy frameworks, pinecone, Azure Foundry, Pydantic, hallucination mitigation, OpenAI, Governance

.Net Core, Ml, Java, API design, Sql, Typescript, Terraform, Azure, Python, AWS, GenAI, cloud-native applications, No-SQL, Ai, Claude Code, context engineering, GraphRAG, GitLab CI, GitHub Actions, RAG, CI/CD, LLM orchestration

Large Language Models (LLMs), Voice bot technologies, Transcription optimization, Machine learning pipelines, Data labelling strategies

Java, Data Architecture, Data Modeling, Distributed Systems, Python, Reliability, event-driven architectures, distributed query engines, SQL-based data access patterns, system scalability, cloud-native architectures, AI Data Services

C, Angular, React, Javascript, Ruby, Big Data, Python, AWS, Java, C++, Vue, Gcp, Azure, AWS Bedrock, fine tuning, Hugging Face, Privacy, Go, vector databases, LangGraph, Evaluation, responsible AI, Security, guardrail techniques, LLM frameworks, LangChain, LLM deployment, embedding models, prompt engineering, SageMaker, RAG techniques, OpenAI