I'm a versatile and deeply curious developer and researcher, passionate about building robust solutions across multiple domains. With a strong academic background in Mathematics and Computer Science, I thrive at the intersection of theory and practice. My experience spans full-stack web development, machine learning, and algorithmic problem-solving.
- Full-Stack Development: Building end-to-end applications with modern frameworks like React, Django, and Node.js.
- Machine Learning & AI: Developing and deploying predictive models and AI-driven features.
- Algorithmic Design: A strong foundation in algorithms, data structures, and computational theory.
- Mathematical Modeling: Applying mathematical principles to solve complex, real-world problems.
Here are some projects that showcase my range of skills.
| Project | Description | Technologies |
|---|---|---|
| Machine Learning for Heart Disease | An in-depth analysis and application of various machine learning models to predict heart disease, demonstrating data preprocessing, model training, and evaluation. | Python, Scikit-learn, Pandas, Jupyter |
| Recommendation System Learning Platform | A full-stack web application that delivers personalized learning content to users through a sophisticated recommendation engine. | Python, Django, React, PostgreSQL |
| Deepseek Local App | A locally-run application leveraging the Deepseek model, showcasing my ability to integrate and work with modern AI models. | Python, AI/ML |
- 🔬 Google Scholar: [Your Google Scholar Profile URL]
- 📝 Blog: [Your Personal Blog or Medium URL]
- 📄 CV: [Link to your CV]
- 💼 LinkedIn: [Your LinkedIn Profile URL]
I'm always open to discussing new projects, research, or collaboration opportunities. Feel free to reach out!