I'm a passionate Machine Learning Researcher & Software Engineer with a background in Software Engineering and a drive to solve real-world problems through innovative AI solutions. My work spans predictive healthcare models, computer vision, and data science—transforming complex data into impactful insights.
- 🔭 Research & Innovation: Developed ML frameworks for chronic kidney and cardiovascular disease prediction. Presented my work at IEEE conferences.
- 🌱 Learning & Growth: Deep diving into deep learning, computer vision, and precision medicine to build interpretable AI models.
- 👯 Collaboration: Always excited to work on interdisciplinary projects that bridge technology and healthcare.
- 💬 Ask Me About: Machine Learning, Deep Learning, Data Science, AI in Healthcare, and Research methodologies.
- 📫 Reach Me: smaaj26@gmail.com
- Programming & ML Frameworks: Python, TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas, C++, C#, JavaScript, Dart, Flutter
- Tools & Platforms: Jupyter Notebook, Git, Docker, Google Colab, VS Code, Android Studio
- Data & Visualization: Matplotlib, Seaborn, SQL, Firebase
- Other Skills: Research, Generative AI, Data Mining, Statistical Analysis, Algorithm Development
- Academic Excellence: Graduated with a B.Sc. in Software Engineering (CGPA: 3.60) from the University of Sialkot, ranking among the top 3% of my batch.
- Research Contributions: Co-authored a paper on chronic kidney disease prediction presented at IEEE ICETAS 2024 (Bahrain); led the award-winning “CardioPulse” project.
- Freelance & Leadership: A seasoned freelancer with 350+ projects, balancing technical expertise with creative problem-solving and leadership in hackathons and sports.
