João Paulo S. Plöger

Electrical Engineering Undergraduate | AI & Cryptography Researcher & Developer

Belo Horizonte, BR.

About

Highly motivated Electrical Engineering undergraduate and active researcher at UFMG, specializing in advanced AI, cryptography, and signal processing. Led interdisciplinary AI research groups and developed novel mathematical theorems. Seeking to leverage deep expertise in autonomous computational systems and cryptographic innovation to drive impactful solutions in a research or development-focused role.

Work

Ponto Ini Sistemas

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Junior Programmer

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Summary

Developed and maintained robust web systems, translating complex requirements into functional PHP and JavaScript solutions to enhance operational efficiency.

Highlights

Developed and maintained critical web systems, ensuring high performance and reliability for diverse applications.

Implemented scalable solutions using PHP and JavaScript, directly contributing to streamlined business processes and improved user experience.

Contributed to the full software development lifecycle, from conceptualization to deployment, for various web-based projects.

Marelli Ind. e Com. LTDA.

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Technical Support / Service Desk (Young Apprentice)

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Summary

Provided comprehensive technical support and IT infrastructure assistance, ensuring seamless operation and efficient resolution of system issues for end-users.

Highlights

Performed technical diagnosis and troubleshooting for Windows and Linux systems, resolving complex issues and contributing to improved system stability and user productivity.

Provided essential IT infrastructure support, maintaining network stability and optimizing system performance for over 50 users.

Delivered prompt and effective end-user assistance, enhancing productivity and ensuring smooth operation of critical business applications.

Education

Federal University of Minas Gerais (UFMG)

Belo Horizonte, MG, Brazil
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Undergraduate Electrical Engineering Grade:

Courses

Engaged as an Undergraduate Research Assistant in AI and Neural Networks, contributing to cutting-edge projects and interdisciplinary research groups.

Received two strong faculty recommendations for an international transfer program to MIT, recognizing exceptional academic potential and research aptitude.

Focused advanced coursework on Radian Theory and Advanced Trigonometric Analysis, including the development of novel mathematical theorems.

Explored dissipative systems, signal processing, and unsupervised artificial intelligence within the curriculum, demonstrating a rigorous academic foundation.

Languages

Portuguese

English

German

Spanish

Skills

Programming Languages

C++, Python, PHP, JavaScript, HTML5, CSS3.

Engineering & Hardware

Circuit Theory (Dissipative Systems), Signal Processing, Electronic Systems, Mathematical Modeling, Control Systems, Applied Machine Learning.

Cybersecurity & IT

Pentest, Flipper Zero, Network Diagnostics, System Troubleshooting, Technical Diagnostics, Windows/Linux Systems, IT Infrastructure Support.

AI & Machine Learning

Unsupervised AI, Neural Networks, Deep Learning, Facial Pattern Recognition, Visual-Linguistic Interpretation.

Cryptography

Custom Cryptographic Logic, Non-linear Mapping, Multi-rotor Architecture, Enigma Machine.

Projects

FTT (Face-to-Text) Initiative

Summary

Led an independent research project in collaboration with UFMG staff, developing an unsupervised multi-neural AI system for high-fidelity facial pattern recognition and lip-reading transcription.

Custom Advanced Enigma Machine

Summary

Developed a full-stack web application, a modern recreation of the historical Enigma machine, featuring custom cryptographic logic and an advanced graphical interface.