I'm an AI/ML Software Engineer and Data Science student passionate about building scalable machine-learning systems, solving real-world problems, and exploring the full stack of model development — from data pipelines to deployment.
I specialize in deep learning, computer vision, NLP, and MLOps, with hands-on experience developing models, optimizing them, and deploying them as interactive web apps.
I design & implement ML and deep-learning solutions using:
- TensorFlow, OpenCV, YOLO, HuggingFace
- Python, Pandas, NumPy
- End-to-end ML pipelines (training → evaluation → deployment)
I love making ML practical, using:
- Docker, Streamlit, REST APIs, Django
- Azure Machine Learning, Git/GitHub
My background in competitive programming helps me build:
- Efficient algorithms
- Optimized ML pipelines
- Clean, maintainable software
Languages: Python • C++ • JavaScript • SQL ML/DL Frameworks: TensorFlow • OpenCV • YOLO • HuggingFace • Pandas • NumPy • Matplotlib • Seaborn Core Expertise: Machine Learning • Deep Learning • NLP • Computer Vision • Optimization • Feature Engineering Tools & Deployment: Git/GitHub • Docker • Streamlit • Django • REST APIs • Azure ML • Jupyter Notebook
🎓 B.Sc. in Data Science (Computer Science) — Alexandria University (CGPA: 3.3)
📘 Machine Learning Trainee — National Telecommunication Institute 120+ hours covering ML foundations, deep learning, and practical applications.
🏆 Competitive Programming Trainee — Coach Academy Gained strong DSA foundations and analytical problem-solving skills.
- Deep Learning Specialization — DeepLearning.AI
- Machine Learning Specialization — Stanford / DeepLearning.AI
- Python 3 Programming — University of Michigan
🔗 LinkedIn: linkedin.com/in/makrious-ayman-84985621b/
💻 GitHub: github.com/MakCoder-2004
📧 Email: maaakrious2004@gmail.com
I'm open to opportunities in:
- Machine Learning Engineering
- AI Research & Development
- Computer Vision / NLP
- MLOps & Deployment
- Software Engineering
If you're building something exciting — let's connect!