.NET, Kubernetes, Python, LangChain, AI governance model, AI-assisted development tools, Prompt Engineering, AI platform engineering, n8n, Agentic AI, MCP A2A, cloud-native application development, Generative AI, Claude Code, GitHub Copilot

Microsoft Azure, RESTful API design

.NET, Figma, Python, Kubernetes, MCP, cloud-native technologies, LangChain, AI-assisted software development tools, A2A

Java, Predictive Analytics, Vue, Node.js, Angular, React, Nlp, Computer Vision, Gcp, Azure, Python, AWS, LangChain, LLMs, pgvector, Go, vector databases, Pinecone, AI applications, EKS, Milvus, Weaviate, LlamaIndex

Databases, Java, Distributed Systems, Incident Management, Microservices, Production Systems, retrieval, AI agentic systems, observability

Java, API Design, Distributed Systems, Docker, Terraform, Kubernetes, Python, Infrastructure as Code, Production Operations, Software Engineering Best Practices, Cloud-native Architectures

Distributed Systems, Microservices, Python, Typescript, React, LLM orchestration, RAG pipelines, Next.js, generative AI features

Machine Learning, Gpu, MLops, Gcp, Flask, Python, Generative AI, LLMs, Plotly, RAG-based systems, Physics-informed analytics, Agentic AI, Dash, DataOps pipelines, Bokeh, DGX, Signal Processing

Ml, Data Factory, Sql, Azure ML, App Services, Databricks, Azure, Python, Foundry, Ai, Generative-AI, Claude, Llm, RAG, OpenAI, Gemini

Distributed Systems, Debugging, Python, MLops, Kubernetes, RAG systems, infrastructure automation, vector databases, containerisation, CI CD, scalable backend engineering, reliability engineering, AI orchestration platforms, agentic AI frameworks, Generative AI, LLM deployment, LLMOps, distributed training, cloud platforms, Monitoring, performance optimisation, AI system architecture, real-time inference systems, GPU optimisation