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Achievement: YOLOAchievement: Pull Sharkx3

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YuriLeonel/README.md

👋 Hi, I'm Yuri Leonel

Frontend Developer passionate about building secure, scalable, and accessible web applications.
I specialize in Vue 3, Nuxt 3, and TypeScript, and I'm expanding into Python and AI, applying security-first thinking from my experience at a cybersecurity company.

💼 About Me

  • Software Engineer
  • Tech Stack: React, TypeScript, TailwindCSS, Next, Vite
  • Tools: Git, AWS, Azure DevOps
  • Security-aware from daily work in cyber-focused environments
  • Currently learning: Python for AI, system design, and architecture

🚀 Current Projects

  • Retail Insights API — Retail analytics platform using FastAPI, PostgreSQL, and Jupyter for data exploration and ML.
  • Business AI Automator — AI-powered automation engine for business and HR workflows.
  • Vexpenses Contacts — Mobile-first contacts app built with React, TypeScript, Styled-components, and clean architecture.
  • Linktree Portfolio — Personal portfolio in React and TypeScript, deployed on Netlify.

🧭 Approach

“Innovation and clear communication are key to effective development.”
I aim to write code that is readable, testable, and maintainable while solving real problems.

📈 GitHub Stats

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📫 Contact

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  1. linktree-portfolio linktree-portfolio Public

    Personal portfolio inspired by Linktree, created with React, TypeScript, and TailwindCSS, deployed on Netlify.

    TypeScript 2

  2. retail-insights retail-insights Public

    Modular retail analytics platform using FastAPI, PostgreSQL, and Jupyter for data analysis and machine learning. Includes secure authentication and full CRUD.

    Python 1

  3. alfabit-design-system alfabit-design-system Public

    Forked from alura-cursos/alfabit-design-system

    Design system built from the Alura course, demonstrating component creation, tokens, and documentation with MDX.

    TypeScript

  4. vexpenses_contacts vexpenses_contacts Public

    Mobile-first contacts manager built with React, TypeScript, Styled-components, and clean architecture, featuring responsive UI and form validation.

    TypeScript

  5. A_Star_Recommendation A_Star_Recommendation Public

    A* Based prototype for product recommendations using conversion probability as a heuristic.

    Python

  6. Bayesian_Network Bayesian_Network Public

    A focused exploration of uncertainty handling in AI through Bayesian networks, featuring probabilistic reasoning implementations for e-commerce purchase prediction with practical Python examples us…

    Python