Golang, Distributed Systems, Kafka, Microservices, Concurrency, Docker, Scalability, Python, Java, Rabbitmq, System Design, Kubernetes, Prompt engineering, gRPC APIs, Cloud-native architectures, semantic search, LLM orchestration, Agentic workflows, Performance Optimization, Vector databases, Model serving, AI workflow orchestration, Embedding models, Model evaluation, Event-driven architectures

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

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