Osaf Ali Sayed

• Built the entire application from scratch using Next.js and Nest.js, ensuring a modular, scalable, and maintainable architecture

• Designed and implemented RESTful APIs with Nest.js, integrating PostgreSQL databases for reliable data flow and performance.

• Configured and deployed infrastructure on DigitalOcean Droplets, managing Nginx, SSL (Certbot), and environment setup for production and staging environments.

• Set up CI/CD pipelines using GitHub Actions to automate testing, building, and deployment of both frontend and backend services.

• Implemented secure environment variable management and CORS policies to streamline communication between microservices.

• Designed and optimized database schemas for performance and scalability using PostgreSQL.

• Automated daily scheduler jobs using BullMQ for backend data synchronization and updates.

• Managed Domain, DNS, and HTTPS configuration for seamless frontend–backend integration.

• Built serializers, viewsets and endpoints in Django and Django REST Framework powering 10+ interactive dashboard features.

• Minimized database hits through query optimization, improving API response times by 75%.

• Developed reusable Ant Design components to display key data for sales and technical teams.

• Created a custom scheduler to run tests sequentially, and parallelly, reducing the overall runtime by 60%.

• Enhanced Zenduty website reliability by developing a comprehensive PyTest and Cypress suite. Used daily by 8+ developers and QA engineers for code validation.

• Launched an asynchronous API utilizing FastAPI and MongoDB, accelerating data processing speeds by 90% compared to previous synchronous systems, reducing server latency by 30 milliseconds.

• Established seamless connectivity between FastAPI and MongoDB using Pydantic and Beanie.

• Implemented 15 new API endpoints, controller and services for enhanced data querying capabilities.

• Orchestrated the refactoring of order history storage using Redis, accelerating query response times by 75% and enabling faster retrieval of customer purchase information for support teams.