Hi! I'm Gabrielly, but you can call me Kimi 🧩
I'm a Machine Learning & AI Engineer with 2 years of experience. I believe in human-centered tech that drives meaningful change where it matters most.
I'm a second-year Data Management student at the Federal University of Piauí in Brazil
👩💻 Currently, I am...
- 💼 ML Engineer | Data Engineer at Cortex.
- 🤖 Building hybrid BiLSTM-Transformer models at UFPI as an undergraduate researcher. TEST THE BILSTM BASELINE RIGHT NOW!
- 📊 Deploying MLOps pipelines with MLflow, Docker, K9s, and AWS (S3, Lambda, EC2, EKS, DynamoDb).
- 🕵🏼 Exploring Quantum Computing to test, develop and write my thesis on Classical Machine Learning and Quantum Machine Learning for NLP.
✨ Achievements
- 🇧🇷 Developed the 1st and only dataset of Kanoé's language for preservation. How it was developed; Download the dataset
- 🏆 3rd Place at aTip Hackathon
- 📊 Created a unique water inequality dataset of Brazil's Northeast
Certifications
- 🎖️ Machine Learning Specialization | Stanford University, 2025. Project - Credit Risk Prediction Model with Decision Tree
- 🎖️ AI Engineer Associate Certification | DataCamp, 2025
- 🎖️ Data Engineer Associate | DataCamp, 2025
📝 Publications
- 📄 ENUCOMPI (Peer Reviewed): Exposing water gaps and health risks in northeastern Brazil through data
📚 Lifelong Learning 🧠 The "Stanford Roadmap" Project
- As a neurodivergent learner, I thrive on structure and depth. I designed and am executing a rigorous, self-directed curriculum based on Stanford University's Computer Science BS, running parallel to my formal degree.
📐 Click to see my current progress & Curriculum
Current Phase: Year 1 - Solid Foundation 🏗️ Focus: Mathematical rigor and algorithmic thinking.
Semester 1: Foundation (From November/25 to May/26)
- CS106A: Programming Methodology. Activities
- Introduction to Mathematical Thinking (In Progress)
- Introduction to Logic (In Progress)
- CS103: Mathematical Foundations of Computing
- CS106B: Programming Abstractions (In Progress)
Semester 2: Foundation II (From June/26 to December/26)
- PHYSICS61: Mechanics
- MATH19: Calculus I
- CS107: Computer Organization & Systems
- CS125: Data & Society
- CS109: Probability for Computer Scientists
- 🚧 Capstone Project 1
Year 2.
Semester 3 (From January/27 to June/27)
- MATH20: Calculus II
- MATH51: Linear Algebra & Multivariable Calculus
- CS111: Operating Systems Principles
- CS221: Artificial Intelligence: Principles and Techniques
Semester 4 (from July/27 to December/27)
- CS229: Machine Learning
- CS161: Design & Analysis of Algorithms
- CS205L: Continuous Mathematical Methods with an Emphasis on Machine Learning
- 🚧 Capstone Project 2
Semester 5 (From January/28 to June/28)
- CS22N: Natural Language Processing with Deep Learning
- CS259: Algorithms Fairness
- PHYSICS71: Quantum
- 🚧 Capstone Project 3
🌍 Leadership & Global Recognition
- 🧑🏫 Volunteer as an Artificial Intelligence teacher at an NGO.
- 🇺🇳 Volunteer at the United Nations Major Group for Children and Youth (MGCY).
- 👨🏫 Teaching Fellow for the Data and AI for Social Analysis course at UFPI.
💬 Let's connect
- 🌐 Portfolio: codeonthespectrum.online
- 💼 LinkedIn: Gabrielly Gomes
- 📧 Email: gabrielly.gomes@ufpi.edu.br