- Developed an asychronous task framework to support distribution of tasks for the Canary framework.- Implemented a router application intercept incoming requests and efficiently route traffic to Canary and stable runtimes.- Improved Mongo database query efficency by optimizing database index selection and implementing a LRU caching algorithm, improving query execution times by 300\%- Python, Flask, Celery, MongoDB, Go

- Improved data consumption and processing algorithms in the Flask backend to efficiently process data from the Mongo database and customer APIs.- Updated parsing algorithms of data from customer APIs to reduce order failures by 30\%.- Developed new flows in the backend to handle incoming restaurant updates, reducing cache staleness.- Python, Flask, MongoDB, Redis