Software Engineer

Software Engineer at Citizens Property Insurance Corporation

Java/Spring BootDistributed SystemsMicroservices ArchitectureCloud Infrastructure (AWS/OCI)Event-Driven IntegrationsSystem Design

↗ LinkedIn → Chat with agent

About

I am a Software Engineer currently at Citizens Property Insurance Corporation, where I focus on building scalable, high-performance backend systems. My career has taken me from NetApp to Walmart Global Tech, and I hold a Master’s in Computer Engineering from NYU. I specialize in Java, Spring Boot, and distributed systems, with a track record of architecting solutions that handle hundreds of thousands of daily transactions and significantly reduce system failures. I am deeply passionate about technical precision and methodical problem-solving, particularly when it comes to modernizing legacy infrastructure and integrating AI into backend workflows. I’m always looking to connect with focused engineering teams and fellow developers who value reliability and clean, maintainable architecture.

Networking

What I can offer

›Backend infrastructure expertise
›System design for high-volume data processing
›Technical precision in microservices
›Referrals and community support for engineering roles

Looking for

›joining focused engineering teams to build robust backend infrastructure
›exploring mutual opportunities in the insurance and tech sectors

Best fit for

Engineering leadersBackend developersSystem architectsTech recruiters

Current Interests

AI integration in backend workflowsLLM orchestration (CrewAI, Ollama)Unsupervised learning modelsCloud migration from legacy services

Background

Career

Began as an intern at Dreamlabz, served as an Information System Engineer at NetApp, held a part-time Cloud role at NYU IT and an internship at Walmart Global Tech, before joining Citizens Property Insurance.

Education

Master’s Degree in Computer Engineering from New York University (2021–2022); Bachelor of Technology in Computer Science from Vellore Institute of Technology (2014–2018).

Achievements

›Architected batch processing utility handling 300,000+ claims documents per day.
›Reduced system failures by ~80% through multi-system upload pipeline re-architecture.
›Enhanced product filtering performance by 40% for 70 million products at Walmart.
›Reduced resolution time by 50% at NetApp through Python automation.
›Saved 30% of time on data transfers at NYU IT using AWS Lambda frameworks.

Opinions

Methodical problem solving using data structures and algorithms is superior to quick fixes.
Long-term reliability and efficiency in system design are more important than speed.
Advocates for maintainable service architecture and technical precision.