• Examined existing errors and provided optimised solutions for concurrency control to increase throughput by 20% and reduced latency by 160ms by implementing parallel message queues.• Analysed disk usage and memory leaks of application to implement node cli commands to purge, backup and retrieve old publications on demand thereby resulting in freeing up 75% of disk usage.

• Shouldered responsibility to understand and migrate legacy codebase of batch applications from private cloud to AWS hosted environment to improve security and scalability by 12%.• Automated daily report generation for downstream data processing flows to be consumed by operational users which improved productivity by 22 hours per week.

• Provided bug fixes for a critical web-based risk management application having zero downtime tolerance to monitor fraudulent emails from the organization resulting in prevention of 32.7 million USD counterfeit transactional amount.• Improved middle layer and RDBMS backend for scaling up application for various departments capable of handling 5x user load.• Outlined, created and managed in-house framework built on Python, Ansible and Jenkins as a replacement for a licensed code deployment tool into production which resulted in a company-wide licensing cost saving of 70% across various teams.• Mentored a direct report intern and evaluated performance based on training completion and work tracking.