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

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

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

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