Score Space
Score Space is a football analytics platform that empowers football fans, bettors, and analysts to make data-driven predictions using live and historical data. As the Co-Founder and Tech Lead, I was responsible for designing the platform’s architecture, ensuring scalability, and implementing community engagement features.
Key Contributions
- Built comprehensive data pipelines to automate the fetching and processing of live and historical football data.
- Developed community-driven features for sharing and validating match predictions.
- Designed a three-tier architecture to separate frontend, backend, and database layers for scalability.
- Implemented CI/CD pipelines and testing best practices to ensure quality and maintainability.
- Integrated services like Stripe for payments and Sentry for error monitoring.
Technologies
- Backend: Python, Django, Django Rest Framework
- Frontend: Svelte, SvelteKit
- Database: PostgreSQL
- Task Queue: Celery, Celery Beat
- Monitoring & Payments: Sentry, Stripe, PostHog
- Deployment: AWS Lightsail, Cloudflare