Engineered end-to-end features for payment platform, and integrating with different services/APIs

Refactored and improved mission critical service and migrated 100% users to a new pricing strategy

Collaborated with different stakeholders (Sales, Support, Leadership) in sharing technical specs,

Optimized performance by 300% for heavily trafficked endpoints with query optimization techniques

Led Machine Learning team of 5 in building a system spanning 4 services for churn prediction

Implemented dynamic environment configuration on CircleCI for Blue-Green Deployment

Built feature to add bulk time entries so large law firms can efficiently enter their data

Detected and improved inefficient incoming email queries

Built feature for admins to override default payment rates in user's payment plan

Built feature to parse and update invoice due date to collect overdue invoices and automate payment reminder

Working on Machine Learning model to predict customer's credit card usage using Python, scikit-learn, pandas, AWS SageMaker