Software Engineer & Data Scientist
Backend Development · Distributed Systems · Machine Learning Engineering
I build scalable backend systems and production-ready machine learning solutions. My engineering philosophy centers on writing clean, maintainable code that solves real problems — whether that's designing distributed architectures, optimizing data pipelines, or deploying intelligent services to the cloud.
I specialize in the full stack of modern backend development: from RESTful API design and database optimization to containerization and CI/CD automation. My data science work focuses on applied ML, bridging the gap between research and production through robust engineering practices.
Beyond professional development, I maintain sharp problem-solving skills through competitive programming, which has strengthened my approach to algorithmic thinking and system design.
Backend Development & APIs
- ASP.NET Core, ASP.NET MVC
- Entity Framework Core
- RESTful API Design & Implementation
- Microservices Architecture
Cloud & DevOps
- AWS (EC2, RDS, S3, Lambda)
- Docker, Kubernetes
- CI/CD Pipelines (GitHub Actions)
- Infrastructure as Code
Databases
- SQL Server, PostgreSQL, MySQL
- MongoDB
- Query Optimization & Indexing
- Database Design & Schema Modeling
Data Science & Machine Learning
- Python ML Stack (Pandas, NumPy, Scikit-learn)
- Feature Engineering & Model Development
- Statistical Analysis & Experimentation
- ML Pipeline Development
Systems & Tools
- Git & Version Control
- Linux/Unix Systems
- Bash Scripting & Automation
- System Design & Architecture
Problem Solving
- Competitive Programming (Codeforces Profile)
- Data Structures & Algorithms
- Complexity Analysis & Optimization
- LeetCode Practice
I'm open to discussing backend architecture, machine learning engineering, and competitive programming challenges.
Reach out:
📧 ahmed.ibrahim01974@gmail.com
💼 LinkedIn
🌐 Portfolio
Building systems that scale. Writing code that matters.


