containerization , Python, cloud platforms, AI orchestration frameworks, RAG systems, LLM integration, LLM APIs, prompt engineering, vector databases

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

Java, Graphql, Scala, Kafka, TigerGraph, MLops, Docker, Neo4j, XGBoost, Spark, Kubernetes, Python, AWS, Airflow, pgvector, Qdrant, LightGBM, Go, MLflow, Flink, Neptune, Kubeflow, Milvus

MongoDB, Rtp, Java, concurrency, Postgres, Sentry, Kafka, Datadog, System Design, Distributed Systems, AWS, Redis, Webrtc, Python, Kubernetes, Docker, Gcp, scalable high-availability APIs, Pub Sub, SIP, streaming systems

Apis, Prometheus, Flux, Grafana, Datadog, Terraform, Splunk, Helm, Kubernetes, AI tools, Linux networking fundamentals, observability tools, large language models, ArgoCD, service architectures

testing practices , architectural patterns , Distributed Systems, Software Development, Apis, System Design, Coding Standards, embeddings, knowledge graphs, GraphRAG, knowledge bases, versioning practices, Data Validation, semantic search, ontologies, integration solutions, Retrieval pipelines, AI-driven systems, Knowledge Representation, schema governance, taxonomies, semantic models, evidence-based reasoning, AI-enabled platform capabilities, hybrid search, data systems, RAG

Prometheus, Saml, Kafka, Grafana, Redis, Rabbitmq, Sso, Docker, Terraform, Iam, Helm, Kubernetes, AWS SQS, Azure Service Bus, OpenTelemetry, OIDC

PostgreSQL, Prometheus, Grafana, Rtp, Gcp, Terraform, Linux, Azure, Kubernetes, Python, AWS, Go, Jaeger, Tempo, OpenTelemetry, SIP