π About Me I'm a passionate full-stack developer on the path to becoming a Machine Learning Engineer. I believe in learning through building - exploring diverse domains from mobile apps to trading systems while developing the statistical and technical foundation needed for ML. My journey is driven by curiosity, continuous learning, and solving real-world problems with code.
π Tech Stack
Languages: Python, TypeScript, JavaScript, SQL
Frontend: React, React Native, HTML/CSS
Backend: Node.js, Supabase, PostgreSQL
ML/Data: NumPy, Pandas, Statistical Analysis
Mobile: React Native (iOS & Android)
Tools: Git, Docker, Claude Code
Cloud: Supabase, Firebase, CI/CD pipelines
πΌ Featured Projects
- π€ Algorithmic Trading Systems - Statistical validation frameworks and backtesting for quantitative strategies
- π± HACCP Compliance App - React Native multi-tenant SaaS for restaurant food safety management
- π§ AI Development Workflows - Integration with Serena for semantic code analysis and automated development
- π Data Analysis Projects - Exploring ML concepts through practical financial and business data modeling
π± Currently Learning
- Machine Learning fundamentals (statistics, linear algebra, model validation)
- Advanced Python for data science and algorithm implementation
- MLOps and model deployment pipelines
- Feature engineering and data preprocessing techniques
- Neural networks and deep learning frameworks
π― 2026 Goals
- Build end-to-end ML systems from data collection to deployment
- Master statistical modeling and hypothesis testing
- Contribute to open-source ML projects
- Transition from generalist developer to specialized ML engineer
π« Let's Connect
βοΈ From Aijo24