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matheuspydev/README.md
Matheus Henrique — Backend & Salesforce Developer

▍  About me

I'm a Backend & Salesforce Developer who likes building systems that stay simple as they grow.

  • Salesforce specialist — Apex, LWC and platform administration
  • Also working with Java, Python, .NET and Node.js
  • Chemistry graduate turned engineer: curiosity that became code
  • Happiest when a complex problem collapses into a simple solution

▍  Projects

Real-time analytics platform with event tracking, metric aggregation and live dashboards.

TypeScript Node.js PostgreSQL Redis

Wild West bounty-hunting system built around procedural generation of targets and contracts.

Java OOP

Predicting the solubility of chemical substances with Random Forest and neural networks — where the chemistry degree meets machine learning.

Python Jupyter scikit-learn

Marketplace for artisanal agricultural products, focused on relational modelling and SQL query design.

SQL Data Modelling

▍  Language mix

Language mix across public repositories

Turning complex problems into simple solutions.

Popular repositories Loading

  1. matheuspydev matheuspydev Public

    JavaScript

  2. Previs-o-de-Solubilidade-com-Intelig-ncia-Artificial-e-Modelos-Preditivos Previs-o-de-Solubilidade-com-Intelig-ncia-Artificial-e-Modelos-Preditivos Public

    Projeto que aplica Inteligência Artificial para prever a solubilidade de substâncias químicas usando Random Forest e Redes Neurais (MLP). Utiliza dados de propriedades químicas como carga e raio iô…

    Jupyter Notebook

  3. PetMatch-Project-FrontEnd-developer PetMatch-Project-FrontEnd-developer Public

    HTML

  4. wild-west-bounty-system wild-west-bounty-system Public

    🤠 Sistema de caça às recompensas no Velho Oeste com geração procedural, facções dinâmicas e eventos aleatórios

    Java

  5. conexao-produtor conexao-produtor Public

    Marketplace de Produtos Agropecuários Artesanais - Atividade 3: Consultas SQL

  6. event-analytics-system event-analytics-system Public

    🚀 Real-time analytics platform with event tracking, metrics aggregation, and live dashboards. Built with Node.js, TypeScript, PostgreSQL, Redis, and React.

    TypeScript