TejaSree Chiluveru

About

Built and launched an internal AI troubleshooting assistant focused on safe, retrieval-first root cause analysis for enterprise systems, with strong attention to monitoring, fallback behavior, and post-launch iteration. Also owns full-stack product work across React and Java/Spring Boot, including high-volume financial operations workflows, and reports measurable LLM improvements such as ~30-40% latency reduction.

Key Strengths

• Production AI agent development with safety-focused architecture
• Strong RAG system design and retrieval optimization
• Reliability and observability for AI and backend systems
• End-to-end ownership across React UI and Java/Spring backend
• Performance optimization for high-volume data workflows
• Practical LLM evaluation using user feedback and test sets
• Iterative product improvement driven by post-launch signals
• Zero-to-one scoping under ambiguity
• Cross-functional collaboration with product and design
• Latency reduction of ~30-40% in LLM-powered workflow
• Safe tool design with read-only production constraints
• Idempotency and duplicate-processing prevention in APIs

Reference Highlights

• leadership
• mentorship
• growth mindset
• positive attitude
• supportive
• reliable
• calm under pressure
• composed during incidents
• effective incident resolution
• clear communication
• strong end-to-end understanding
• quick problem-solving
• cross-functional collaboration
• customer-focused execution
• incorporates feedback well
• iterates quickly
• strong ownership
• handles ambiguity well
• breaks down loosely defined problems
• identifies sensible starting points
• maintains focus
• drives execution
• balances speed with quality
• practical tradeoffs

Experience

Education

Skills

Languages

Certifications