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MateusjsSilva/README.md
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About Me

I hold a Bachelor's degree in Computer Science and a technical diploma in Electronics. I work in software development and data analysis, with experience in REST APIs, front-end and back-end development, as well as data pipelines and machine learning models applied to real, scalable projects.

I am interested in interdisciplinary projects in the health domain and have experience in automation and networking. I am a SENAI-certified Full-Stack Developer (Angular and .NET) with qualifications in Python, Java, ML, and AWS Foundations. I also participated in research on public opinion regarding police operations using web data.

Personal website: www.mateussilva.dev.br

Skills

  • Angular
  • .NET
  • Python
  • Google Cloud
  • AWS
  • MySQL
  • SQL Server
  • Docker
  • Git & GitHub
  • Metodologias Ágeis

Badges

To see more badges I have earned visit my public profile.

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  1. SensitiveFlow SensitiveFlow Public

    SensitiveFlow is a .NET library that brings observability and control to sensitive data. It focuses on runtime behavior - automatic auditing, log redaction, and masking.

    C# 1

  2. DotNet.CleanArchitecture DotNet.CleanArchitecture Public template

    Production-ready .NET 10 Clean Architecture template — CQRS/MediatR, EF Core, JWT + Refresh Tokens, Outbox Pattern, Soft Delete, Redis Cache, OpenTelemetry, Prometheus/Grafana, Jaeger, Scalar API D…

    C# 1

  3. DotNet.Benchmarks DotNet.Benchmarks Public

    High-performance benchmarks comparing native Zstandard (zstd) compression, atomic bitwise operations, and runtime optimizations in .NET 11 Preview 1.

    HTML

  4. fast-api-template fast-api-template Public template

    This project is designed to be used as a scaffold for new microservices, ensuring that all new projects are born with the same standards of quality, observability, and security.

    Python

  5. MIT-BIH-Arrhythmia-DB-Visualizer MIT-BIH-Arrhythmia-DB-Visualizer Public

    A visualizer for the MIT-BIH Arrhythmia Database that allows users to view and analyze ECG signal data along with annotations.

    Python 2