Naveen Rawat

I am a software engineer focused on building scalable automation and AI-integrated data platforms that improve reliability and compliance. At Wells Fargo I developed a self-service database platform handling 14k+ orders annually and automated critical database tasks across Oracle, SQLServer, EnterpriseDB and YugabyteDB.

I design asynchronous, resilient systems using Redis and Celery, and implement robust testing and observability — maintaining 80%+ pytest coverage and achieving 98% incident resolution within SLA through Splunk, ServiceNow and Grafana. I also drove accessibility (WCAG AAA) compliance and integrated human-in-the-loop AI validation flows for operational safety.

My projects include FastAPI backends that extract regulatory rules via LLMs to generate automated data validation workflows, reducing manual review by 50% and processing 10k+ records per run with audit traceability. I have optimized front-end performance and implemented analytics instrumentation to increase returning users.

I hold a B.Tech from NIT Surat, completed Azure Fundamentals and Deep Learning coursework, and enjoy solving algorithmic challenges. I seek roles where I can design reliable automation, integrate LLM-driven workflows, and improve operational excellence.