Moustafa Zein

Hired and established the ML algorithms and data infrastructure team, developing data infrastructure using Azure cloud solutions. Implemented an automated vehicle routing system to cover 24 areas, resulting in a 100% increase in daily orders from 9.8K to 18K within 8 months.

Managed a team of 15 engineers, improving coordination between the team, product managers, and business partners. Led the development of a highly scalable and reliable data ingestion platform for the auto marketplace, processing 20 million automotive records daily.

Led the Java track and managed five engineers in the observability team, establishing the code review process and contributing to a GCP migration that cut costs by 27%. Built InsightData and AlertManager microservices, enabling Ford users to trace platform activity, access logs, and set alerts.

Hired and managed a Fintech squad of 14 engineers, launching two products from scratch and increasing team productivity by 45%. Led a cross-functional team to deliver secure, scalable wallet, credit, and e-money services used by 55K daily users, generating EGP 900M in revenue.

Developed the core of the fleet operations system using an event sourcing approach, improving delivery time by 50% and enabling the company to launch its own fleet. Refactored the search module, boosting search accuracy from 40% to 86% in the first phase and up to 93% in the second.

Contributed to building a real-time application offering financial microservices, including price streaming and handling 20K daily stock market orders, funding, and money transfers. Developed securities APIs supporting over 50K concurrent users and processing 2 million transactions per second.

Developed a correspondence and document management system (web and mobile) using the Java technology stack. Optimized core workflow functions in the Arrow product, reducing average response time from 20 seconds to 2 seconds.

Focused on Psychoinformatics, leveraging machine learning and optimization systems. Completed a master's thesis on 'A Reality Mining Model in Human Behavior'.

Grade: Very Good

Specialized in Intelligent Systems, completing a bachelor's thesis on 'RFID-based Cashier and Inventory Management Units for Supermarket and Retail stores'. Achieved a 'Very Good' grade.