Incident Response Source Reference App

Modular incident response platform with multi-model LLM integration, enterprise retrieval pipelines, and Azure-ready deployment architecture

FlaskReactChromaDBDocker

I'll be documenting this project in more detail in the near future, stay tuned!

Short Entry

  • Refactored a client-specific application into a modular Incident Response Source Reference App (SRA) using Docker, Python, JavaScript/TypeScript, React, and SQLite designed for deployment within Azure environments, reducing initial development time for future teams by 4–6 weeks
  • Built a configurable, multi-model LLM framework integrating OpenAI (GPT-4/4o), Anthropic Claude, Google Gemini, and Ollama-hosted models into Azure-based client environments, enabling effortless model switching between projects
  • Unified enterprise data sources (ServiceNow, Confluence, AppDynamics, Splunk) into a single retrieval layer, enabling real-time data retrieval and minimizing configuration time for future teams