👋 Hi, I’m José, a Computer Engineering student from Brazil 🇧🇷

[jyrikes]

Introduce yourself

🙋 Introduce yourself

Hi everyone, I’m José Yrikes, a Computer Engineering student at Universidade Federal Rural de Pernambuco (UFRPE/UABJ), in Northeast Brazil.

I’m interested in programming, artificial intelligence, quantum computing, advanced AI systems, software engineering, mathematical modeling, robotics, cybersecurity, and AI-assisted development workflows.

I also have ADHD, and part of my journey in technology is learning how to build better systems, workflows, and study tools that help people think, learn, organize ideas, and create software more efficiently.

I’m here to learn from the GitHub community, improve how I organize and publish my projects, connect with other developers, and use GitHub as a serious portfolio for academic, technical, and experimental work.

Ask me about Python, AI experiments, quantum computing, advanced AI, mathematical modeling, robotics, educational software, GitHub workflows, Copilot, Codespaces, and Kiro, also I can help with Industrial CLP and LADDER , LORA and low level code.

Links (optional)

🔗 Links

• 🌐 Portfolio / GitHub Pages: https://jyrikes.github.io/
• 💼 LinkedIn: COLE_AQUI_SEU_LINKEDIN
• 📸 Instagram: COLE_AQUI_SEU_INSTAGRAM
• 🐙 GitHub: @jyrikes

Where are you in your GitHub journey?

Contributing to open source

And where are you going next on GitHub?

🧭 And where are you going next on GitHub?

My next step is to use GitHub in a more professional, research-oriented, and collaborative way.

I already use GitHub for academic and programming projects, but now I want to go further: contribute to open-source projects, build stronger technical connections, share my academic discoveries, improve my portfolio, and find internship, junior-level, research, or developer opportunities.

I want to grow specifically in:

🌍 Open-source contribution — documentation, issues, pull requests, bug fixes, beginner-friendly contributions, and real collaboration;
🧪 Academic and experimental publishing — sharing discoveries from artificial intelligence, quantum computing, mathematical modeling, and agent-based systems;
🧱 Professional repository organization — better README files, diagrams, documentation, examples, changelogs, and reproducible projects;
⚙️ Software engineering workflow — Git, branches, commits, pull requests, issues, milestones, GitHub Projects, and code review;
🚀 Full deployment cycle — development, testing, containerization, CI/CD, deployment, monitoring, documentation, and maintenance;
🐳 DevOps and containers — Docker, Linux environments, shell scripts, virtual machines, and reproducible development setups;
🤖 AI-assisted development — using tools like GitHub Copilot, Codespaces, Kiro, and other AI tools to improve productivity without losing technical understanding;
🔐 Cybersecurity and infrastructure — Linux, networking, vulnerability analysis, automation, and secure development practices;
🏭 Industrial automation and applied engineering — PLC programming, Ladder, Siemens/TIA Portal concepts, SCADA software, HMI systems, and automation workflows.

My goal is to turn GitHub into a serious technical portfolio: a place where I can show not only code, but also reasoning, experiments, academic work, engineering process, and real learning evolution.

What technical skills or projects are you working on?

🛠️ What technical skills or projects are you working on?

I am currently studying and working across multiple areas of computing and engineering:

💻 Software Development
🐍 Python
⚛️ React
📱 React Native
🔷 C#
🌐 Web development
🧩 APIs and backend logic
🗃️ Databases and data modeling
🧪 Testing and debugging
📦 Project structuring and documentation
🤖 Artificial Intelligence and Data
🧠 Artificial Intelligence
📊 Pandas
🔬 Scikit-learn
🔥 TensorFlow
🧱 Keras
👁️ Computer Vision
🎯 YOLO
📈 Data analysis and visualization
🧮 Mathematical modeling
🗣️ Language agents and persistent-state AI systems
⚛️ Quantum Computing and Academic Research
⚛️ Quantum Computing
🧮 Theory of Computation
📐 Mathematical frameworks
🧠 Advanced AI systems
📚 Academic writing and research documentation
🧪 Experimental software prototypes
🏭 Industrial Automation and Engineering
🏭 Industrial Automation
🔌 PLC / CLP programming
🪜 Ladder Logic
🏗️ Siemens / TIA Portal concepts
🖥️ SCADA software
🎛️ HMI systems
⚙️ Sensors, embedded systems, and control logic
🐧 Infrastructure, DevOps and Deployment
🐧 Linux
🖥️ Shell scripting
🐳 Docker
🔁 CI/CD concepts
🚀 Full deployment cycle
🧰 Virtualization
🌐 Networking
🔐 Cybersecurity fundamentals
🛠️ Environment setup and automation
🧪 Current project interests

My current projects involve experimenting with language agents, mathematical frameworks for AI behavior, quantum computing concepts, educational tools, automation systems, computer vision, and AI-assisted development workflows using tools like GitHub, Copilot, Codespaces, Docker, Linux, and Kiro.

I am especially interested in how technology, AI, open-source software, and better learning tools can help students, neurodivergent people, and developers from regions with fewer resources build real technical capacity.

Got a question for us? (optional)

❓ Got a question for us?

What are the best ways for a student who already uses GitHub to start contributing seriously to open-source projects, build technical credibility, share academic and experimental discoveries, and find professional opportunities in software, AI, automation, and research?