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Achievement: Pull Sharkx2Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: YOLO

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@trackerlabs

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sans-script/README.md

Hello World!


I'm a Software Engineer currently pursuing a B.Sc. in Science and Technology at the Federal University of Maranhão

A passionate Software Engineer from Brazil 🇧🇷

Building and breaking stuff since 2019.


❤️ GitHub Sponsor | ☕ Donate via PayPal

Code Time: 168 hrs 53 mins | From Hello World I've Written: 4.30 million lines of code

Up time: 20 years, 7 months and 4 days

🏆 Google Developer Program

Joined the Google Developer Program Innovators+ — Google Developer Program Premium Tier Android Studio User Android SDK Platform Tools Chrome DevTools User Google Cloud & NVIDIA Community Member Completed Learning Activities across Google's developer ecosystem

📊 This Week I Spent My Time On

💬 Programming Languages: 
Python                   1 hr 51 mins        ███████████░░░░░░░░░░░░░░   45.46 % 
TypeScript               1 hr 14 mins        ████████░░░░░░░░░░░░░░░░░   30.34 % 
Other                    22 mins             ██░░░░░░░░░░░░░░░░░░░░░░░   08.98 % 
Markdown                 16 mins             ██░░░░░░░░░░░░░░░░░░░░░░░   06.86 % 
JSON                     9 mins              █░░░░░░░░░░░░░░░░░░░░░░░░   04.02 % 

🔥 Editors: 
Claude Code              3 hrs 54 mins       ████████████████████████░   95.27 % 
VS Code                  11 mins             █░░░░░░░░░░░░░░░░░░░░░░░░   04.73 % 

💻 Operating System: 
Windows                  4 hrs 5 mins        █████████████████████████   100.00 %

Skills Icons

If there's any music playing on my Spotify, it will show up here. This means I'm working on something really cool, or just taking a shower.

🎯 Current Focus

Deep diving into Python, TypeScript • building interactive dashboards, data visualization, and structured data handling • 📊✨

Employ advanced TypeScript conditional and mapped types to dynamically validate complex JSON schemas at compile-time, ensuring robust data contracts across service integrations.

🛈 The content above is generated daily using AI. AI and I can make mistakes. Powered By Google Gemini 2.5 Flash.

Pinned Loading

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    ENSy is a browser-based research instrument for navigating and quantitatively analyzing the geometry of large language model embedding spaces.

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    A dynamic audio visualizer for Lively Wallpaper, inspired by the sound waves from Arctic Monkeys' "Do I Wanna Know?" music video. Built with HTML5 Canvas and vanilla JS.

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    A small, dependency-light monitor for servers that run Node apps under PM2 behind Nginx. It checks each target over HTTP, then connects over SSH with a read-only set of commands to report CPU, memo…

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