At Mphasis Limited, I enhance Tata AIA insurance modules on AS400 using COBOL/400, CLLE, and DB2.
I optimize mainframe batch jobs and use ML log-pattern checks to detect anomalies early. I also perform DB2 queries and provide production support for SLA-driven issue resolution.
As a Software Engineer Intern at Mphasis Limited, I built a Salary Management System with React and Django for automated payroll workflows. I added ML-based attendance anomaly checks and secure RBAC features.
On my Image Defogger project, I developed and deployed an image-enhancement system using a Variational Autoencoder, React, Tailwind CSS, and FastAPI. I also designed an automated defect detection system using Raspberry Pi, camera sensors, and machine learning.
