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fredwlassow13/README.md

Hi, I'm Frederico Wlassow

Software Engineering Student | AI & Machine Learning | Quantum Computing

Passionate about Artificial Intelligence, Quantum Machine Learning, backend development, and software engineering.

Currently focused on Large Language Models (LLMs), Quantum Machine Learning, Variational Quantum Circuits (VQC), Quantum Kernel methods, and applied AI research.

Connect with me:

LinkedIn

About Me

Software Engineering student at INATEL with interests in Artificial Intelligence, Machine Learning, Quantum Computing, backend development, and cloud technologies. Experience developing projects using Python, Java, Docker, AWS, REST APIs, Jenkins, and computer vision frameworks such as YOLOv5. Currently exploring Quantum Machine Learning, LLM applications, automation systems, CI/CD pipelines, and scalable software architectures.

Featured Projects

Quantum Machine Learning Research

Experiments involving Variational Quantum Circuits (VQC), Quantum Kernels, and hybrid quantum-classical models.

CarCompare

Full-stack vehicle comparison platform built with React, Node.js, MySQL, and Docker Compose.

Library Management System

Java-based management system featuring layered architecture, automated testing, and Jenkins CI/CD pipeline.

🛠️ Tech Stack:

Pinned Loading

  1. qml-tabular-study qml-tabular-study Public

    Comparative study of VQC and Quantum Kernel algorithms on tabular datasets in the NISQ era — validated on real IBM quantum hardware (IBM Marrakesh). Undergraduate thesis, Inatel 2026.

    Python

  2. java-library-management-system java-library-management-system Public

    Forked from C14-2025/Ze-dos-Livros

    Library Management System in Java featuring CRUD operations, loan management, JUnit tests, Jacoco coverage, and Jenkins CI/CD.

    Java

  3. car-compare car-compare Public

    Forked from LucasMRCouto/car-compare

    Full-stack car comparison application with React, Express, MySQL, REST API architecture, and Docker Compose.

    JavaScript

  4. solar-mlops solar-mlops Public

    End-to-end MLOps pipeline for next-hour solar power forecasting — XGBoost · MLflow · FastAPI · SageMaker

    Python