Hello, I'm Mel! (She/Her). My academic journey includes a bachelor's degree in Philosophy (which informs my AI ethics perspective), a degree in Systems Development, a professional certification in Data Science & Machine Learning from Tera (where I later served as tutor) and an upcoming MBA in Data Science & Analytics at USP.
As a Machine Learning Engineer at Weni by VTEX's Technology and Innovation department, I specialize in Large Language Models (LLMs) and AI Agents, with a growing expertise in Responsible AI & LLM Security. My work focuses on developing secure NLP systems while implementing robust evaluation frameworks to ensure ethical AI deployment.
AI/NLP with social impact, Gender-inclusive AI development, LLM vulnerability mitigation, Data Governance
through collaboration with teams and colleagues, constantly improving my technical abilities.
collaborative environments where knowledge sharing and teamwork are valued. I do my best work when surrounded by people who are passionate about helping each other grow.
This is the study space I've built and continue to develop over time. Here you'll find repositories documenting my learning roadmaps and study plans, current focus areas and ongoing projects and future project ideas and experiments.
My current career goal is to focus on my learning and solidifying the foundational knowledge in data science field and bring my Philosophical expertise to work with Data Governance. 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, tools and frameworks 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.
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The main technologies, tools and frameworks 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.
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Also hobbies I have had experience in non-work contexts, enjoy practicing, or find it to be a very enjoyable activity.
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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. |
 Supporting and encouraging women in technology. I have the honor of participating in two amazing communities in the field. Check their work for incredible initiatives supporting women in tech! |
RPG enthusiast: My favorite D&D class is monk Gaming lover: Stardew Valley, Monster Hunter, Skyrim Horror genre addic: Both in books and movies Naturally curious: Forever exploring new knowledge areas |
Feel free to contact me! I'm opened for collaborations on AI/NLP projects,
discussions about women in tech initiatives, sharing game recommendations
(RPGs preferred!)
and opportunities in the area!
