Model Context Protocol (MCP), PostgreSQL, Python, CrewAI, multi-agent orchestration systems, Go, vector databases, LangGraph, AutoGen, OpenTelemetry, Langfuse, LLM frameworks

Java, Graphql, Node.js, Elk Stack, Grafana, Datadog, Typescript, REST, Python, AWS, LangChain, CrewAI, AgentOps, Go, IaC, LangGraph, LLM Ops, CI/CD

Terraform, Helm, Kubernetes, Python, metrics, Datadog, Apm, AWS, GitOps, MCP servers, FinOps, Kustomize, Go, Argo CD, GitHub Actions, CI/CD, logs, AI LLM spend control, tracing, agentic AI workflows

snowflake , Zookeeper, Java, Postgres, Hadoop, Kafka, AWS, Redis, Cassandra, Kubernetes, Python, Docker, Terraform, Envoy, Flink, Go

containerization , Java, Microservices, Automated Testing, Kubernetes, Python, Apis, Databases, stream-processing technologies, orchestration technologies, observability tooling, Go, cloud platforms, generative AI tools, data engineering pipelines

bedrock , Java, Cloudformation, Iam, Asynchronous programming, AWS, FastAPI, Kubernetes, Python, EKS, vLLM, Envoy, Go, GPU scheduling, MCP, LangChain, RAG, A2A protocols, LangGraph, Prompt engineering, containerised infrastructure, Istio, Google ADK, service mesh technologies, Aurora, Agentic AI, Generative AI

containerization , Java, Performance Tuning, Microservices, Gcp, Distributed Systems, Rest Apis, Azure, Python, AWS, event-driven architectures, asynchronous processing, Monitoring, Problem-solving, observability

Spark, Sql, Azure Databricks, Python, Mosaic AI, AI Playground, Unity Catalog, AI Functions, Agent Framework, Delta Lake

testing practices , Coding Standards, System Design, GraphRAG, Retrieval pipelines, RAG, AI-Driven systems, Knowledge bases, ontologies, Evidence-based reasoning layers, Optimization, Schema governance, semantic search, Embeddings, LLM-powered applications, Engineering best practices, Integration solutions, Semantic models, Ai, Agents, Data Validation, Predictions, Hybrid search, Knowledge graphs, Versioning practices, Knowledge Representation, Taxonomies

developing production-grade backend services using Python, observability and monitoring tools, relational and non-relational databases, infrastructure-as-code, cloud provisioning frameworks such as Terraform or CloudFormation, identity and access management technologies, container orchestration such as ECS Fargate, secrets management, pipeline automation with Azure DevOps, networking and load balancing, LLM API gateway technologies, asynchronous programming frameworks, multi-provider integration across major cloud AI platforms, containerisation with Docker