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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

Python
Python Advanced
C
C# Advanced
C++
C++ Intermediate
C
C Intermediate
J
Java Intermediate
JavaScript
JavaScript Intermediate
M
Matlab Beginner
GNU Bash
Shell Beginner
.NET
ASP.NET Core Advanced
FastAPI
FastAPI Advanced
.NET
Razor Pages Intermediate
Node.js
Node.js Beginner
Bootstrap
Bootstrap
Pydantic
Pydantic Advanced
SQLAlchemy
SQLAlchemy Intermediate
PostgreSQL
PostgreSQL Advanced
MongoDB
MongoDB Intermediate
Redis
Redis Beginner
.NET
Entity Framework Advanced
.NET
Linq Advanced
SQLite
SQLite Advanced
PyTorch
PyTorch Advanced
NumPy
Numpy Advanced
pandas
Pandas Advanced
M
Matplotlib Intermediate
S
Seaborn Intermediate
scikit-learn
scikit-learn Advanced
OpenCV
OpenCV Intermediate
Git
Git
GitHub
GitHub
GitHub Actions
GitHub Actions
Jupyter
Jupyter
Linux
Linux
Pop!_OS
Pop!_OS
Postman
Postman
Swagger
Swagger
Kaggle
Kaggle
Docker
Docker
Google Colab
Google Colab
Obsidian
Obsidian

Latest Posts

Work Experience

May 2024 - Nov 2024

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.

June 2023 - August 2023

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

NASA Space Apps Cairo 2023

Most Innovate Prize winner

• Received the `Most Innovative Solution` award (Top 1% – 150 teams, 25,000 EGP prize).
• 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.
IEEE Extreme 2023

Top 500 Globally

• Ranked 32nd in Egypt before withdrawing at 18 hours; finished in Top 500 globally and 48th in Egypt.