Moaaz Assali Email & Phone Number

• Designed and led end-to-end development of a real-time vehicle tracking and analytics system handling 2 billion monthly requests across more than 20,000 concurrent devices in production.
• Guaranteed high scalability of the backend by supporting 10 million inserts/second through load testing.
• Reduced website and mobile app load time by 95%, from over 1 minute to less than 4 seconds.
• Developed a robust TCP server in C# to handle over 100 device models with distinct binary protocols.
• Created a REST backend API using ASP.NET in C# and handled real-time data streaming with WebSockets.
• Deployed a highly available and fault-tolerant distributed database setup using ClickHouse for real-time device signals, ensuring low-latency replication and reliable disaster recovery.

• Designed and implemented an optimization framework for deep learning 3D localization and mapping (SLAM) for unmanned vehicles given energy, memory, and low latency constraints using PyTorch and C++.
• Reduced memory footprint by 62.5% and satisfied low latency and energy requirements of Jetson TX2 GPU.
• Utilized real-time camera calibration with OpenCV using chess board calibration to help against drift over time and improve the model’s accuracy.
• Deployed on UGV robots with embedded GPUs using ROS C++ to use the model for navigation.

• Developed comprehensive plans for growth and managed finances and funding with various departments.
• Organized engaging events and competitions, providing opportunities for skill development and networking.
• Established partnerships with college and external organizations, broadening the reach and impact of the IEEE branch and increasing membership by >100%.

• Developed and implemented SpanTrax, a comprehensive cleaning management system.
• Increased cleaning performance by 60% within the first month of deploying the app.
• Provided insights to optimize cleaning schedules and performance with data from the developed system through various analytics and interactive data visualizations.
• Deployed and integrated NFC tags in 23 cleaning zones for cleaners to tap with their phones to check-in.
• Contributed towards ISO 41001 certification by demonstrating enhanced efficiency of cleaning management and meeting sustainability criteria through the elimination of physical paper logs.
• Utilized React Native for the Android app, React for the admin dashboard deployed on Cloudflare CDN, Flask (Python) for the backend API deployed on AWS EC2, and PostgreSQL for the database.

• Developed a timesheet management solution, replacing manual recording of employees’ working hours with a fully automated backend system and comprehensive mobile application.
• Created a mobile app using React Native that allowed managers to easily record timesheets digitally and automated the integration of this data with the company’s accounting systems and generating Excel sheets.
• Created a RESTful backend API to manage app requests with ASP.NET and PostgreSQL hosted on AWS EC2 and RDS.

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Bachelor Of Science - Bs, Computer Science, 3.96/4.0

Bachelor Of Science - Bs, Electrical And Electronics Engineering, 3.96/4.0