Mahmoud Salem

- Designed the backend system for the e-commerce application. - Developed REST APIs using Nodejs/ Expressjs. - Constructed database schemas using MongoDB. - Deployed the system using Docker/ AWS. - Tested, maintained and improved the system for maximum functionality and performance. - Worked directly with the product manager to manage deliverables and expectations.

- Designed the backend system for the car gear shopping application. - Developed REST APIs using Nodejs/Expressjs and Firebase functions. - Constructed database on Firestore Database and Google Cloud Storage. - Lead a team of engineers to deliver the planned functionalities.

- Optimized the server responsible for collecting drivers’ data to handle 3x concurrent users using Golang for multi-threading and concurrency. - Built a caching layer Java/Redis/PostgreSQL. - Developed serverless microservices using AWS lambda functions with Nodejs/Expressjs.

Sentiment Analysis (Natural Language Processing) - Applied traditional supervised and unsupervised machine learning algorithms. - Built deep learning models using Python, Keras and Tensorflow.

- Bachelor Thesis : Natural Language Processing with Deep Learning (A+) - GPA : 3.9 (American Scale), 1.05 (German Scale)