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Achievement: QuickdrawAchievement: YOLOAchievement: Pull Sharkx2

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kalebers/README.md

Kalebe Szlachta — Generalist Software Engineer

🇧🇷 🇩🇪 🇫🇷

I’m a generalist software engineer with experience across software development, data engineering, cloud infrastructure, and systems design. I’m currently focused on cybersecurity, building secure, reliable, and scalable solutions for modern environments.

I enjoy working across the stack—from automation and data pipelines to observability, threat detection, and secure software delivery—and learning whatever is needed to solve meaningful problems well.

Areas of focus

  • Cybersecurity: security engineering, monitoring, threat detection, and ML for cybersecurity
  • Software engineering: Python, Java, Spring Boot, C#, C++, Go, JavaScript, and SQL
  • Cloud and infrastructure: AWS, GCP, scalable systems, and DevOps practices
  • Data and analytics: data engineering, machine learning, and Tableau
  • Web development: HTML, CSS, and JavaScript

Education

🎓 M.Sc. in Cybersecurity (2025–2027) — Pontifical Catholic University of Paraná (PUCPR)

Beyond technology

Outside work, I enjoy playing guitar, reading, taking photos, biking, and exploring mechanical engineering. I’m a curious, independent learner who likes connecting ideas across different fields.

Collaboration

🤝 Open to collaborating on thoughtful software, security, and data projects, as well as remote opportunities.

📫 Reach me: kalebeszlachta@gmail.com

🌐 Connect with me

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  1. kalebers.github.io kalebers.github.io Public

    Portfolio for Kalebe Szlachta. Website and all information here! kalebers.github.io/

    HTML

  2. Data_Streams_Parametric_T-SNE Data_Streams_Parametric_T-SNE Public

    Research for Parametric T-SNE in high to low dimensional data stream, published in 2021 by Kalebe Rodrigues Szlachta and Andre de Macedo Wlodkovski, oriented by Jean Paul Barddal, Computer Science …

    Jupyter Notebook 2

  3. Economic_Analysis_Data_Science Economic_Analysis_Data_Science Public

    Data Analysis Python project using economy data base to predict percentage of good and bad payers

    Jupyter Notebook 1

  4. InvoicePilotBR InvoicePilotBR Public

    A brazilian invoice organizer service, in construction, that helps any person to keep track of their expanses and income. Also built as a challenge on Hacktoberfest 2026 Week 2.

    Python

  5. lazysort lazysort Public

    LazySort, an AI-powered, privacy-first file organizer for macOS and other desktop platforms. It is a submission for the Hacktoberfest 2026 Open-Source AI Challenge Week 3

    Python

  6. streaming-ad-skipper streaming-ad-skipper Public

    Browser extension to skip ads in streamings, such as Prime Video, Paramount, Netflix, etc. Still under prototyping, any suggestions, be free to open an issue or a pull request :) Testing primarily …

    TypeScript