B.Tech CSE student at SRMIST (CGPA 9.03), building production-grade full-stack and backend systems. Shipped a SaaS PWA achieving 95+ Lighthouse score, engineered microservices with Java Spring Boot & Docker, and contributed +1,896 lines of merged PRs to an open-source AI Linux OS. Passionate about clean architecture, open-source, and shipping things that actually matter.
Passionate Computer Science undergraduate at SRMIST (CGPA 9.03) building production-grade software across the full stack. I've shipped a SaaS PWA with Razorpay payments achieving 95+ Lighthouse scores, engineered microservices with Java Spring Boot & Docker, and contributed +1,896 lines of merged PRs to open-source AI Linux projects. I bring Java + TypeScript depth, open-source credibility, and a relentless drive to build systems that actually matter.
Available in two optimized formats for your convenience:
Architected and shipped a full-stack SaaS PWA end-to-end — system design, schema normalization, frontend deployment — serving concurrent multi-tenant users at 95+ Lighthouse score.
Developed a production-ready RESTful microservice with 3-layer backend defense architecture — 100% attack block rate, sub-millisecond API response latency.
Merged PR #521 and #542 into cxlinux-ai/cx-core implementing full System Role Management and Docker permission fixes (+1,896 lines merged).
Implemented priority queues and spatial hash maps to optimize a real-time vehicle detection pipeline classifying 52+ vehicles/session at stable 30 FPS.
Architected and shipped a full-stack SaaS PWA end-to-end — system design, schema normalization, frontend deployment — serving concurrent multi-tenant users at 95+ Lighthouse score.
Architected a production API rate limiting service in Java Spring Boot implementing sliding window algorithm with Redis sorted sets at O(log n) complexity.
Developed a production-ready RESTful microservice with 3-layer backend defense architecture — 100% attack block rate, sub-millisecond API response latency.
Implemented priority queues and spatial hash maps to optimize a real-time vehicle detection pipeline classifying 52+ vehicles/session at stable 30 FPS.
cxlinux-ai/cx-core
+582 lines merged
Docker Permission Fixer
cxlinux-ai/cx-core
+1,314 lines merged
System Role Management
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