Shravani Koona

About

Backend/data engineer with experience at Assurant and Capgemini, focused on reliability and performance at scale. Improved high-latency backend APIs by adding and iterating on a Redis caching layer driven by CloudWatch/monitoring metrics, and built scalable BI pipelines that normalize messy multi-source enterprise data with strong observability and error handling. Familiar with LLM/RAG architecture and practical guardrails, though has not yet shipped an LLM feature to production.

Experience

Education

Key Strengths

• Diagnosed API latency issues using CloudWatch metrics, monitoring dashboards, and log analysis
• Implemented Redis caching layer to reduce database load and improve API response times
• Made and tuned cache freshness vs performance tradeoffs (expiration strategy iteration)
• Built scalable BI data pipeline aggregating multiple inconsistent enterprise data sources
• Designed preprocessing/normalization to handle schema variations and malformed data with observability and alerting
• Understands end-to-end RAG workflow and key reliability guardrails (grounding, input validation, prompt-injection protection)