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Mel-iza/README.md


Profile Details Productive Time


Hello, I’m Mel! (She/Her). I work as a Machine Learning Engineer in the Technology and Innovation department at Weni by VTEX. My role involves integrating, training, and evaluating AI models using NLP techniques, focusing on LLMs. I use Python as my primary language to work on tasks related to natural language generation (NGL) and understanding (NLU). My tasks include creating model experiments, tuning hyperparameters, evaluating performance, manipulating artifacts, quantizing models, assist in designing and building workflows for model training and evaluation, and staying updated through research. I also have experience as a project tutor and learning facilitator in the Data Science and Machine Learning course at Tera, where I helped students with projects. I recently graduated in Systems Analysis and Development and hold a bachelor’s degree in Philosophy.

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!


My current career goal is to focus on my learning and solidifying the foundational knowledge required to work as a machine learning engineer specializing in NLP, primarily working with LLMs/LLMOps. I have mapped out these areas of knowledge that I intend to study further, and I aim to become a technical expert in the field.


👇🏻 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
Pandas

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

Markdown
Photoshop
Canva

👇🏻 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.These technologies/frameworks are definitely on my list for future studies.
Tensorflow
Django
Flask
Java
SQL
Google Cloud
Kubernetes
Grafana
AWS
Bash

👇🏻 Here are some projects I've been working on, whether they are projects I might have done early in my learning, after gaining a bit more knowledge, or even the ones I started recently. Get to know some of them:
Vaccine Fake News Part of my final course work. I worked with some classification models to identify fake news about vaccination in Brazil with data from the interval between the pandemic and the date close to the period I was working on.
A FAST API basic implementation This was a quick project that aimed to test the basic implementation of the Fast API with a json input and return one of the classesThe API receives a json file as input. It will process the file into a dictionary and return one of the dictionary values..
The Natural Language Processing Workshop This is a project that I started, and I want to continue, which is to study and review the content on natural language processing. The information in the book is very complete about the area.
Hands-on sobre Inteligência Artificial do Weni XP This project was a hands-on project that I presented during the Weni XP event in 2023. The objective was to provide a basic introduction to the area and show the operating flow of training a basic model - in this case, the chosen one was the classification model.

Key Areas I am highly interested in and wish to explore further within the fields of artificial intelligence and data science include: development operations around large language models (LLMs), model quantization techniques, inference optimization for large models, pipeline orchestration involving model processes, LLM explainability, structuring security processes in training and evaluation pipelines, ethics, epistemology, statistical validation of model experiments, statistics and statistical inference, among others.


GitHub Stats Top Languages

In my free time, I enjoy consuming books and movies, especially in the horror genre. I also love playing video games, mainly RPGs — my favorite D&D class is monk, which is even featured in my profile picture. Some of my all-time favorite games include Stardew Valley, Monster Hunter, and Skyrim.


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