Debugging C++ and JavaScript crashing issues from backlog to get familiar with codebase.

Developed logging systems to ensure our ML model’s suggestion data are collected and can be evaluated.

Shipping UI changes with feature flags to certain users for User Acceptance Testing.

Reducing redundancy in legacy codebase (React/TypeScript) to deploy lighter files and improve stable

Utilized full-stack principles to develop my solution with Angular for Frontend, Python for Backend, Sybase and MongoDB for database, and Git for version control.

Fully tested and deployed feature to production, directly saving bankers over 8 hours a week of currency conversion.