Architected and launched a JSON-driven workflow engine (Python/Django/PostgreSQL/Redis/Celery) enabling customers to define custom triggers/actions; expanded the platform from referral-only to a loyalty solution, creating new revenue streams.

Improved reliability and performance: increased uptime from 95% → 99.95% and reduced average response latency by 60% through query optimization, asynchronous job refactoring, and strategic query caching.

Developed a reporting and analytics warehouse with AWS RDS, S3, BigQuery, and Google Apps Script, powering customer data exports and accelerating internal insights.

Integrated external services (Hyperwallet, GoodData), enhancing customer reporting, payments, and analytics workflows.

Redesigned critical APIs around import, exports, and tracking; led the migration of a production service from Node.js to Django for consistency and performance.

Built an automated data preprocessing workflow using AWS S3 and Lambda to trigger an ordinal encoder for categorical features, improving data consistency and training reliability.

Developed Python utilities for data transformation and feature encoding (Pandas, NumPy, scikit-learn) while learning cloud integration patterns with Pulumi and AWS services.