About me

Hello and welcome to my site! My name is André Vargas, I am a Machine Learning Engineer currently working at Grupo Casas Bahia, one of Brazil's largest retailers.

My journey in tech began with a degree in Mechatronics Engineering from Universidade de Brasília, I also spent one year studying at Cardiff University (UK). My first professional job was 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.

After gaining experience as a Data Scientist, I became deeply interested in MLOps. I’ve since developed expertise in building and deploying ML and MLOps solutions, designing cloud architectures, implementing CI/CD pipelines, and creating production-ready models and APIs.

I am passionate about studying and consider myself self-taught in many areas. Despite not being a web designer by trade, I built this website from scratch, incorporating cool features using HTML, CSS, and JavaScript, all of which I learned on my own. With all the available resources we have today, I truly believe we can learn anything we set our minds to.

Outside of work, I share my life with my amazing wife, Maria, and our dog, Bibi. I also love playing the drums and I love video games, I even made a list of games I've already finished in my "Other Projects" section, which I personally think is pretty cool! Feel free to get in touch, I'm always open to new opportunities and collaborations!

About Section img
Download my Resumé!

Timeline:

  1. Universidade de Brasília
    UNB Logo 2011 - 2017

    Mechatronics Engineering
    Got my 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
    I developed 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
    I worked 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
    I worked 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 - July 2024

    Senior Data Scientist
    Worked as a Data Scientist contractor at Banco do Brasil, one of Latin America's largest financial institutions, developing machine learning solutions in a highly regulated banking environment.
    • Built credit risk models to estimate the probability of asset default, supporting decision-making in portfolio management and regulatory compliance.
    • Developed managerial market projection models to forecast financial trends, enabling strategic planning and business insights for senior stakeholders.

  5. Grupo Casas Bahia
    GCB Logo August 2024 - Present

    Machine Learning Engineer Specialist
    I am currently working in the MLOps team at Grupo Casas Bahia, one of Brazil's largest retail companies.
    • Supported the migration of analytical datasets and ML pipelines from Azure to GCP (3,500+ processes) within a company-wide modernisation effort, enhancing performance, cost, and governance foundations.
    • Engineered a new end-to-end CI/CD pipeline (Databricks + Airflow + GitHub Actions) for reproducible model and data deployments.
    • Designed and built "Sauron", an internal Databricks-based monitoring framework that automates creation, versioning, and deployment of data quality and drift dashboards across dev and prod via asset bundles, cutting manual setup time from hours to minutes and standardising governance.