Aspiring Machine Learning Engineer | Mathematical Computing | AI Systems
I develop machine learning systems grounded in mathematics and production-ready engineering practices. My focus is on building models that are statistically sound, computationally efficient, and deployable in real-world applications.
📖 Currently implementing concepts from Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow by Aurélien Géron.
- Deep Learning Architectures (CNNs)
- Optimization in Machine Learning
- Statistical Learning Theory
- Model Generalization & Evaluation
- Efficient Model Design
- Data-Centric AI
- Python
- NumPy
- Pandas
- Matplotlib
- PyTorch
- Scikit-learn
- Node.js
- NestJS
- Express.js
- REST APIs
- Authentication & Authorization
- MongoDB
- MySQL
- React
- HTML
- CSS
- Tailwind CSS
- Python
- C++
- TypeScript
- JavaScript
- Built CNN-based models using PyTorch
- Image preprocessing and augmentation
- Hyperparameter tuning
- Precision, Recall, and F1-score evaluation
- Performance visualization
- Secure authentication and authorization
- RESTful backend architecture
- Appointment management system
- Scalable API design
- Online ordering and payment integration
- Optimized backend architecture
- Efficient database design
- Authentication and authorization
I'm currently dedicating most of my time to studying Introduction to Linear Algebra by Gilbert Strang.
While I'm working through the book, my GitHub activity may be less frequent. I'm intentionally focusing on building a strong mathematical foundation before moving on to more advanced machine learning projects.
I believe that mastering the mathematics behind AI leads to better intuition, stronger models, and more reliable engineering.
- Transfer Learning
- CNN Architectures
- Grad-CAM
- Optimization Algorithms
- Model Evaluation
- Statistical Learning
- Data-Centric AI
- GitHub: https://github.com/Haji-Suleman
- LinkedIn: https://www.linkedin.com/in/haji-suleman-553753369/
"Building a strong mathematical foundation today to engineer better AI systems tomorrow."
