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Evolution only happens in adversity
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LiamQuinoNeff/README.md

👋 Hello, I'm Liam Quino Neff

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💼 About Me

Computer Science student with a strong foundation in Data Science, Machine Learning and Data Analysis. Passionate about solving complex problems through code and constantly learning emerging technologies. Seeking opportunities to apply and expand my skills in a professional environment.

🎯 Areas of Focus

  • 🔬 Data Science & Machine Learning: Developing predictive models and AI solutions for real-world applications
  • 🚀 Backend Development: Building robust server-side applications, APIs, and microservices architecture
  • 🛡️ Cybersecurity: Implementing security protocols and developing secure applications
  • 🎮 Game Development: Creating interactive experiences and game mechanics using modern engines
  • 📊 Data Engineering: Designing efficient data pipelines and analytics systems

🔧 Skills

Programming Languages:

C++  C#  Python  Java  TypeScript  JavaScript  R  Go  Promela 

Machine Learning & Data Science:

NLTK  NLP  TensorFlow  Keras  PyTorch  torchvision  scikit-learn  OpenCV  DeepFace  LIME 

Multi-Agent Systems:

JADE  SPADE 

Frontend Development:

HTML5  CSS3  Angular  Astro 

Backend & Frameworks:

.Net  Node.js  Spring  JWT  Apache Maven  Pandas  Polars  NumPy  Matplotlib  Seaborn  Flask 

Desktop Development:

Tkinter  PyQt5 

Deployment & Cloud Services:

Microsoft Azure  Docker  Render  Swagger  Netlify  Streamlit  Cloudinary 

Database Management:

MicrosoftSQLServer  MySQL  PostgreSQL  MongoDB  SQLite 

Development Tools:

Git  GitHub  Bitbucket  Postman  Figma  Aseprite 

Game Development Tools:

Unity  GameMaker Studio 2  Ren'Py 

Development Environments:

Visual Studio Code  Visual Studio  IntelliJ IDEA  PyCharm 

Certifications & Languages:

Certifications: MongoDB Basics · Python for Everybody · SQL for Data Science
Languages: 🇺🇸 English (native) · 🇪🇸 Spanish (native) · 🇫🇷 French (advanced)


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💞️ Let's Connect

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  1. 20252_cst_pc4_g3 20252_cst_pc4_g3 Public

    Simulación basada en agentes para estudiar selección natural y comportamiento emergente. Implementado en Python con agentes SPADE que se comunican por XMPP, genera datos de generación en CSV y prop…

    Python 5 1