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

Databases, Apis, Distributed Systems, Cloud Infrastructure, Evaluation, backend architecture, retrieval context management, tool calling, AI-powered systems, agent orchestration, observability

React, Gcp, Distributed Systems, Azure, Python, AWS, LLMs, cloud platforms, AI agents, RAG architectures

Java, Distributed Systems, Rest Apis, Python, microservices architecture, AI ML services, Azure Voice Live API, Azure Speech Services, Azure AI services, Azure OpenAI

triton , Linux kernel, Tensorflow, Github, Jax, Distributed Systems, Pytorch, Cuda, Python, Agile Software Development, ROCm, vLLM, large-scale cluster software, UCX, MPI, accelerator firmware, GPU drivers, RCCL, NCCL, SYCL, Libfabric, oneAPI

Java, SQL Server, Kafka, Spring Boot, Sql, Microservices, Nosql, Rabbitmq, Git, Docker, Distributed Systems, MongoDB, Azure, Kubernetes, AWS, agentic development tools, test automation frameworks, DevOps tooling, Claude Code, cloud-native patterns, Azure Service Bus, Copilot Workspace

Java, Distributed Systems, Kubernetes, Python, Graphql, Microsoft Azure, AI orchestration frameworks, messaging systems, enterprise software engineering, Go, GRPC, service mesh technologies, cloud-native architectures

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

Cloud Platforms (AWS/Azure/GCP), Distributed Systems, Big Data Architecture, Generative AI, Graph ML, ML Platform Engineering