Java · Spring Boot · Python · Machine Learning
Backend systems that scale, APIs that perform.
Backend developer focused on building scalable systems and performance-critical APIs. I design secure, production-grade backends with Spring Boot, optimize latency by up to 40%, and build systems capable of handling high concurrent load with sub-50ms response times.
From authentication and access control (JWT, RBAC) to ML pipelines deployed as live apps. I build systems that are reliable, testable, and ready for production.
Full-stack social impact platform enabling secure user participation in campaigns. JWT + RBAC, optimised PostgreSQL queries, load-tested at 95K+ requests with <10% error rate.
Hostel complaint lifecycle platform with 4-role access control (Student, Warden, Worker, Admin). E2E workflows, Cloudinary media, analytics APIs, containerised with Docker.
End-to-end ML system for loan default prediction on German Credit dataset. Full Scikit-learn pipeline with threshold tuning, boosting recall from 63% → 81%. Live Streamlit app.
Download my resume for a complete look at my experience, skills, and projects.
Open to backend engineering and ML roles. I usually respond within 24 hours.