Aidan Alr

Built and shipped a full-stack creator-economy platform (Django + React), scaling to 1,500 monthly active users and $3,500 paid out to creators within 6 months.

Integrated

TikAPI for live TikTok data, Stripe/PayPal/Venmo for payout processing, and Brevo for automated creator outreach. Automated ingestion and processing of TikTok data via recurring Celery tasks, powering time-series analysis of creator performance.

Solo Developer at Noisy (2025-11 – Present)

• Built and shipped a full-stack creator-economy platform (Django + React), scaling to 1,500 monthly active users and $3,500 paid out to creators within 6 months.
• Integrated TikAPI for live TikTok data, Stripe/PayPal/Venmo for payout processing, and Brevo for automated creator outreach.
• Automated ingestion and processing of TikTok data via recurring Celery tasks, powering time-series analysis of creator performance.
• Established CI/CD with automated testing in GitHub Actions, enforcing version-control best practices across the codebase.

Backend Developer at PrismPMS (2024-05 – 2025-12)

SaaS Practice Management System for Opticians (Startup)

• Architected a secure, multi-tenant Django REST API using PostgreSQL schema isolation to serve independent clinical practices.
• Engineered a modular backend of 20 services and 60+ endpoints, automating healthcare workflows with Celery/Redis for asynchronous task processing.
• Designed for strict compliance: role-based access control, PII encryption, anonymization protocols, and comprehensive audit logging.
• Integrated Dojo for in-person payments and Twilio/Resend for patient communication.

Automation & Data Engineer at Independent Music Label (2024-09 – 2025-06)

• Engineered end-to-end data pipeline using the Soundcharts API that surfaced high-potential unsigned songs for label review, applying custom growth-trajectory analysis and label/artist exclusion rules.
• Google Sheet–configurable filtering logic, Docker containerization, and cron scheduling, delivering multi-format output to Google Sheets, Spotify playlists, and automated email reports.
• Eliminated hours of manual research each week, freeing A&R staff to focus on strategy and signings over data collection.

Business Analyst Intern at Amazon (2023-01 – 2023-07)

• Built a Python data pipeline (Pandas/NumPy) processing 1M+ rows of fleet data across 10 EU countries, hosted on AWS SageMaker with output to S3, informing van procurement decisions in excess of $500M annually.
• Wrote complex SQL (window functions, temp tables) across Redshift clusters and automated data collection via scheduled queries.
• Designed a fleet-composition analysis tool, integrated into the Short-Term Planning team's process, influencing decisions across 20,000 vans in the EU.
• Partnered with Business Intelligence and Finance teams to validate data accuracy; built visualizations in Plotly and authored full tool documentation, passing review with the EU Director of Global Fleet & Product.

MSc in Computer Science – Boston University (2023-09 – 2026-01)

BSc in Economics – University of Bath (2019-09 – 2022-07)