Elasticsearch plugins

Build and deploy production-grade LLM applications with LangGraph for agent orchestration, advanced RAG pipelines leveraging vector and hybrid search, prompt engineering patterns, and automated evaluation. Covers embedding model selection, vector index optimization, and multi-agent architectures for document Q&A, chatbots, and semantic search over proprietary data.

Diagnose performance bottlenecks, implement distributed tracing, and manage incident response with Prometheus, Grafana, OpenTelemetry, and Datadog. Define SLIs/SLOs, run blameless postmortems, and build production-ready observability pipelines for microservices and infrastructure.

Build and deploy OpenSearch for semantic, hybrid, neural sparse, and agentic search applications, plus analyze observability data with log analytics and distributed traces. Deploy to Amazon OpenSearch Service or Serverless with Bedrock integration for embeddings and RAG.

Develop Alfresco/Hyland ECM extensions with AI-assisted scaffolding, validation, and diagnostics. Generate Java/Spring Boot code for content models, REST APIs, workflows, and UI components; validate XML configs, Docker Compose, and BPMN; analyze deprecated APIs and produce migration plans.

Query and analyze application logs stored in Elasticsearch, enabling search, count, filtering by trace IDs, and field extraction for debugging requests and error analysis.

Architect scalable e-commerce platforms using headless commerce like Shopify Hydrogen, Medusa, and Saleor; integrate Stripe payments with PCI DSS compliance, BNPL, and fraud prevention; manage inventory with WMS sync, process orders via state machines, design product catalogs and carts/checkouts, optimize Elasticsearch search/merchandising, and analyze conversion funnels and RFM metrics.

Consult a senior DBA for expert guidance on schema design, database selection from 230+ engines (SQL/NoSQL/vector/time-series/streaming), query optimization, performance troubleshooting, HA/replication setup, migrations, security hardening, monitoring/alerting, capacity planning, backups/recovery, and IaC with Terraform/Kubernetes across relational, document, graph, and cloud-native databases.

Automate go-to-market workflows including account research, persona development, competitive intelligence, outreach sequences, content creation, and deal reviews by connecting CRM, analytics, and communication tools to Claude.

Multi-source research and technical learning from PDFs, URLs, GitHub repos, and YouTube videos with structured note generation, first-principles Socratic study sessions, Docker Compose lab environments, daily spaced-repetition quizzes via Slack, and technical blog writing with Notion integration.