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raquelmcoelho/README.md

Raquel Maciel Coelho de Sousa

Computer Engineering Undergrad (IFCE / ENSICAEN) | Edge AI, Machine Learning & Embedded Systems
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👩‍💻 About Me

I am a final-year Computer Engineering undergraduate at the Instituto Federal do Ceará (IFCE), Brazil, with an international academic background completed through the BRAFITEC exchange program at École nationale supérieure d'ingénieurs de Caen (ENSICAEN) in France, focusing on Artificial Intelligence and Cybersecurity.

Currently concluding my B.S. degree in Fortaleza, my recent work spans:

  • Academic Research & Graduate Coursework: Completed Master's-level studies in Statistical Pattern Recognition (deriving classifiers such as Gaussian MLE, Naive Bayes, LDA/QDA from scratch) and researching Edge AI / TinyML, specifically adapting algorithms like gradient descent to resource-constrained microcontrollers.
  • Applied AI in Industry (Orange - France): Previously worked in the Architecture for Networks and Cloud team on Audio AI agents, building benchmarking pipelines, and evaluating real-world model latency and inference efficiency.
  • Enterprise & Laboratory Engineering: Production-grade software development across private GitLab pipelines involving Qt (C++ / Python / Qt Quick / QML), Vue.js, Flutter, embedded communication via CoAP, and hardware protocols.
  • Open Source & Web Apps: Building modular full-stack web applications using React, TypeScript, and modern frontend architecture patterns.

💡 Note on Repositories: A significant portion of my professional work with Qt, internal C++ libraries, CoAP embedded systems, and enterprise tools resides in private company GitLab repositories. My public GitHub showcases personal research, academic projects, algorithms built from scratch, and collaborative web developments.


🛠️ Core Competencies & Tech Stack

Category Technologies & Skills
Languages C++, C, Python, TypeScript, JavaScript, Dart, SQL, Shell Script
AI, Edge AI & Data Statistical Pattern Recognition, Optimization on Embedded Targets (Gradient Descent on MCUs), Audio AI Agents, Model Benchmarking & Profiling, LangChain, NumPy, PyTorch, Scikit-Learn
Frameworks & UI Qt (Qt Creator, Qt Quick / QML, QWidgets), React, Vue.js, Flutter, Flask
Protocols & IoT CoAP, RESTful APIs, UART, I2C, SPI
DevOps & Embedded Tools Git, GitLab CI/CD, Linux, Docker, STM32CubeIDE, Proteus, LaTeX
Languages Portuguese (Native) • French (B2 TCF) • English (Advanced, TOEIC 925/990) • Italian (B1)

📊 GitHub Activity

GitHub Streak

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  1. pattern-recognition pattern-recognition Public

    Classifiers built from scratch — no high-level frameworks. Only NumPy, mathematics, and statistical rigor.

    Python

  2. digital-eletronics digital-eletronics Public

    Digital Eletronic Circuits made at Proteus Software

    4 1

  3. vmenezesdev/eng-soft-2025-2 vmenezesdev/eng-soft-2025-2 Public

    Trabalho Final de Engenharia de Software. Todo List com 3 arquiteturas frontend e 2 arquiteturas backend.

    TypeScript 2

  4. microprocessors-microcontrollers microprocessors-microcontrollers Public

    Modelagem de máquinas de estado em hardware, programação bare-metal para microcontroladores PIC18 e interfaceamento de periféricos no Proteus

    C 3

  5. sorting-algorithms sorting-algorithms Public

    Implementações práticas, análises de complexidade e testes de algoritmos de ordenação, métodos de busca e estruturas de dados em árvore

    Jupyter Notebook 1

  6. ulissesbon/Gradient-Descent ulissesbon/Gradient-Descent Public

    Implementação completa de regressão linear usando o algoritmo de Descida de Gradiente (Gradient Descent) em C e Python, com visualização interativa do processo de treinamento.

    C 1