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

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

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

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

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