Backend Software Engineer with 3+ years of experience building scalable RESTful APIs and microservices using Java and Spring Boot. I specialize in MongoDB performance optimization at scale (1M+ records), enterprise ERP/PLM integrations, event-driven systems with Kafka and Redis, and SAML/SSO security implementations. I care about clean architecture, system performance, and solving real production problems.
Building scalable REST APIs and microservices with Java and Spring Boot.
Tuning MongoDB and SQL databases for high-volume, low-latency workloads.
Designing scalable, maintainable backend architectures.
Built a cost-impact analysis feature calculating projected impact across multiple factors — commodity pricing, freight, and supplier negotiation — with 36-month forward projections to support strategic sourcing decisions.
Tech Used: Java, Spring Boot, MongoDB
Redesigned MongoDB queries, aggregation pipelines, and indexing strategy for datasets exceeding 1M+ records, reducing API response times from ~45 seconds to 5–10 seconds and aggregation execution times from ~30 seconds to ~5 seconds.
Tech Used: Java, Spring Boot, MongoDB
Implemented SAML 2.0-based Single Sign-On via Azure Active Directory and ADFS, including metadata configuration and SHA-256 signing, to secure enterprise user authentication.
Tech Used: Java, Spring Boot, SAML 2.0, Azure AD
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