Cloud Observability and Insights
Software Engineer • Oct 2024 - Jun 2025
Go
Python
RAG
OpenAI
AzureAI
Gemini
Docker
AWS
GCP
Azure
Description
- Built a RAG pipeline powering 7 AI agents to facilitate infrastructure security, management, and compliance.
- Developed infra-scanner Go service, transforming observability data into a knowledge graph persisted on GraphDB.
- Integrated a vector database for dynamic Cypher query generation for precise sub-graph context retrieval, reducing token usage by 75%.
- Designed a continuous evaluation pipeline for RAG agents using RAGAS to prevent model drift and ensure long-term relevance.
- Engineered a critique feedback agent in a dual-LLM setting, boosting relevancy evaluation score by 15%.