

Mohamed Yaser
- Software Engineer
- Cairo, Egypt
- Ain Shams University
- BSc. of Computer Engineering
About me
I’m Mohamed Yaser, a backend engineer and machine learning enthusiast from Egypt with a strong foundation in Computer Engineering. I thrive on building scalable, efficient systems and enjoy tackling meaningful, real-world problems.
As a hands-on learner, I prefer to understand technologies from the ground up, relying on core computer science principles rather than just frameworks. I value clarity, performance, and clean design in both code and architecture.
Beyond backend development, I’m actively exploring research-driven AI applications, particularly in the medical and 3D vision domains. I’m committed to continuous growth, whether it’s deepening my OS knowledge to optimize project resources, learning new model training techniques, or fine-tuning SQL queries for better performance.
I am currently open to opportunities where I can apply my technical skills, collaborate with talented teams, and contribute to impactful products.
Skills
Latest Posts
Latest Projects
Work Experience
Scale AI
AI Trainer - Data Science• Originally a 3-month contract, extended due to high performance until the project’s completion.
• Processed and validated algorithm-related datasets, ensuring correctness for LLM training.
• Assisted in debugging AI-generated code by identifying logical flaws and improving its ability to understand algorithms.
• Improved data quality for algorithmic problem-solving and API responses, contributing to +80 validated algorithmic challenges.
Ain Shams University Virtual Hospital - HCM Labs
Research Assistant• Developed a TCP communication module to retrieve real-time sensor data using XML commands.
• Engineered a data synchronization system for motion capture cameras and metabolic energy sensors.
• Automated the sensor calibration process, reducing setup time and improving accuracy.
• Processed and structured large-scale physiological data, improving accessibility for researchers.
Hackathons
Most Innovate Prize winner
• Developed a web app for data sonification, converting images & videos into audible sounds.
• Implemented image processing & melody-fitting algorithms to enhance space imagery perception by aligning classical music pieces with the input frame RGB intensities.