Four Systems Shipped.
Every Metric Moved.
Backend engineer with a bias toward correctness, production observability, and measurable outcomes — across RAG pipelines, transactional Java systems, and cloud-deployed data infrastructure.
Sai Arvind Krishnan is a backend-focused engineer completing a Master of Science in Software Engineering at Arizona State University, where he serves as Technical Lead for the ASU LX Design programme. He builds systems that hold up under real load.
His work spans an on-premises Java inventory platform that replaced 40% of weekly manual labour, a cloud-deployed RAG system serving multi-tenant clients on Azure, and an enterprise telecom billing audit pipeline processing AT&T and Verizon invoices for TEOCO Corporation.
Across every system he has touched in production, the numbers moved in the right direction: P95 latency down 35%, LLM token costs down 40%, SQL query performance up 25%, auth defects down 30%, and recurring manual overhead cut by 40%. Not roadmap targets — shipped results, with evidence.
P95 Latency
Reduction
LLM Token
Cost Cut
SQL Query
Performance
Manual
Effort Saved