About me

I am a Machine Learning Engineer based in São Paulo, Brazil, with experience in developing and deploying ML and MLOps solutions with a solid background in Computer Science and Software Engineering, cloud architectures, CI/CD, and implementing models and APIs in production.

My journey began with a degree in Mechatronics Engineering from the Universidade de Brasília, which provided a strong foundation in electronics, microcontrollers, hardware design, and embedded firmware programming. An exchange program at Cardiff University further broadened my technical and cultural horizons.

Initially, I worked as a Hardware Engineer, focusing on IoT, industrial automation and digital transformation. After a few years, my fascination with data and its potential to drive innovation led me to pivot towards Data Science and Machine Learning. I embraced this new direction by diving deep into machine learning models, cloud-based architectures, and MLOps practices.

I am passionate about studying and am largely self-taught. Despite not being a web designer by trade, I designed and built this website myself, incorporating cool features using HTML, CSS, and JavaScript, all of which I learned on my own.

Outside of my professional life, I'm fortunate to share my life with my beautiful wife, Maria, whose support and love inspire me every day. I enjoy spending time with her and my dog, Bibi, who adds joy and companionship to our routine. I'm also an avid gamer and a music enthusiast, often found behind a drum set. These personal passions enrich my life, providing balance and perspective that I bring into my work.

I seek opportunities to expand MLOps skills, contributing to Machine Learning projects' advancement, efficiency, and scalability.

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Timeline:

  1. Universidade de Brasília
    UNB Logo 2011 - 2017

    Mechatronics Engineering
    Bachelor's degree in Mechatronics Engineering, with one year of exchange at Cardiff University, UK.

  2. SENAI
    SENAI Logo May 2018 - February 2022

    Hardware Engineer
    Development of projects and technological solutions meeting the demands of various industry sectors within the scope of the SENAI Institute of Technology: Electronics and Automation.
    • Electronics and Microcontrollers;
    • Internet of Things, Industrial Automation, Industry 4.0, Digital Transformation;
    • Hardware Design and Embedded Firmware Programming;

  3. Falconi
    Falconi Logo March 2022 - December 2023

    Machine Learning Engineer
    Work in consulting projects, delivering valuable results for the business in a fast, secure, and scalable way by building Machine Learning systems.
    • Cloud architecture solutions for Machine Learning Systems.
    • Implementation and deployment of models in production.
    • Usage of MLOps and CI/CD best practices.
    • Help to develop Falconi’s MLOps stack.
    • Deployed Falconi’s MLFlow Server on GCP.
    • Creation of digital assets (templates, libraries) to accelerate the progress of projects.

    Data Scientist
    Work in consulting projects, delivering business-value results using data science and technology.
    • Development of supervised and unsupervised Machine Learning models for different business problems.
    • Coding of data apps and libraries to leverage work in projects.

  4. Stefanini Brasil
    Stefanini Logo January 2024 - Present

    Senior Data Scientist
    Currently working as a contractor within Banco do Brasil, developing different kinds of Machine Learning Models in the bank environment.
    • Development of credit risk models to estimate the probability of an asset becoming problematic.
    • Development of managerial market projection models for Banco do Brasil.

Technical Skills:

ML Infrastructure / MLOps:

Environment & OS Setup

Linux

Version Control

Git
GitHub
GitLab

Cloud Services

Google Cloud Platform
Amazon Web Services
Microsoft Azure

Containerization

Docker
Kubernetes

Experiment Tracking

MLFlow

CI/CD/CT

GitHub Actions
Jenkins

Pipeline Orchestration

Kedro
Kubeflow

Model Serving

BentoML
FastAPI

Model Monitoring

Grafana
Evidently
Data Science and Analysis:

Python

Numpy
Pandas
Matplotlib
Seaborn

Machine Learning

Scikit-Learn
TensorFlow
Keras
Pytorch

Front-end

Streamlit
Flask
HTML
CSS
JavaScript

Databases

SQL
SQLAlchemy
PostgreSQL
PySpark
Download my resumé!