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Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLO
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Mel-iza/README.md




Hello, I'm Mel (She/Her). Welcome! Currently, I work as a Machine Learning Engineer in the Technology and Innovation department at Weni, where I integrate, train and evaluate artificial intelligence models using Natural Language Processing (NLP) techniques with a focus on LLMs.

My work mainly involves Python programming applied in machine learning and deep learning, focusing on Natural Language Generation (NLG) and Natural Language Understanding (NLU). My experience includes enhancing the communication of intelligent agents (Chatbots). Tasks that are usually part of my routine include: creating experiments for models, searching and tuning hyperparameters for training, performance evaluation, verifying inference and latency in model responses, artifact manipulation, model quantization, and researching/reading articles to stay updated in the field. The skills I'm learning vary according to each model development phase: creating APIs, Docker image builds, code versioning and structuring, using machine learning frameworks like PyTorch, and documenting processes.

I have experience as a project tutor and learning facilitator in the Data Science and Machine Learning course at Tera. I assisted students in structuring workflows in classes and project creation, as well as providing support. I am a technology student, currently studying Systems Analysis and Development at FATEC, and a bachelor's degree holder in Philosophy from UFOP.

I'm a fan of horror movies and books, as well as detective and investigative fiction. I love playing games, and one of my favorite genres is RPG. My all-time favorite games are Stardew Valley, Baldur's Gate, Animal Crossing, and Monster Hunter.



I support and encourage women in technology organizations and I have the honor of participating in two amazing communities of women in the field: women in artificial intelligence community (MIA - Mulheres em IA) and Brazilian Women in Text Processing (BPLN- Brasileiras em PLN). These are incredible communities that have many initiatives and contributions for women. Check them out for more information and to learn about their work!🌼




Technologies I have had contact with or have closer contact with in my daily work and am learning today. I have a bit more familiarity and am in a continuous learning process with these technologies:

Python
 Git
 GitHub
 Jupyter
 Docker
 Ubuntu
 Pytorch
 FAST API
 HuggingFace
 RunPod
Numpy
 VSCode
 Anaconda
 Stack Overflow
 Pandas






The main technologies I intend to develop, enhance, or study in the future.Technology I have little familiarity with at the moment but have a lot of interest in learning:

Tensorflow
 Django
 Flask
 Java
 SQL
 Google Cloud
 Kubernetes
 Grafana
 AWS
 Bash






I have had experience in non-work contexts, enjoy practicing, or find it to be a very enjoyable activity:


Pinned

  1. The-Natural-Language-Processing-Workshop The-Natural-Language-Processing-Workshop Public

    Sharing the NLP The Natural Language Processing Workshop book exercises and notes

    Jupyter Notebook 1

  2. Weni_XP_IA Weni_XP_IA Public

    Materiais produzidos para o hands-on 'Como criar um modelo de inteligência artificial do zero' do Weni XP em março de 2023

    Jupyter Notebook 5

  3. Personal-studies-and-learning Personal-studies-and-learning Public

    Space dedicated to organizing my studies from various sources: Fatec course subjects, extra and complementary courses, special topics, or book follow-up.

    Jupyter Notebook

  4. NLP-Research-Papers NLP-Research-Papers Public

    NLP Research Papers: The space is dedicated to recording and summarizing scientific articles on text processing. It focuses on LLMs and their architectures, quantizations, tools, techniques, and mo…

  5. Ilhasoft/chatguy-nlp Ilhasoft/chatguy-nlp Public

    Chatguy - The powerful NLP's dataset creator.

    Python 3

  6. vaccine_fake_news vaccine_fake_news Public

    Vaccine Fake News Detector

    Python