Ahmadreza Amini

- Refactored API project to use SQLAlchemy as ORM, improving data access and maintainability. - Designed a new database structure for the API project to improve scalability and handle a growing user base. - Created an ML pipeline with Celery, separating the ML section and API section for improved scalability. - Reduced GPU memory usage by 50% through controlled ML pipeline requests with Celery, optimizing resource utilization. - Optimized GitLab CI/CD pipeline, achieving a 50% reduction in execution time.

- Analyzed over 5 billion of data to obtain the key and useful parameters (using Pandas, NumPy). - Developed high-performance Flask APIs handling over 1000 requests per minute, ensuring efficient data access for customer applications. - Collaborated with the UI/UX team to create intelligent dashboards utilized for the effective monitoring of over 1.5 million customers. - Provided technical support to over 20 junior staff and clients, fostering a collaborative and knowledgeable environment.

- Created database applications, such as interfaces, data transfer mechanisms, and indexes to enable efficient access to generic database structures. - Developed a real-data pipeline for 40,000+ smart meters with near-zero data loss and latency. - Implemented a health check system using Grafana, Prometheus, and Python to monitor 100% of external and internal APIs more easily.