Gustavo A.

Machine Learning Engineer

Gustavo is an award-winning Machine Learning and Robotics Engineer with seven years of experience, adept at leading teams and delivering data-driven solutions globally.

His expertise lies in problem-solving through Data Analysis, Machine Learning, Data Engineering, Software development, and automated web scraping. With a strategic mindset, Gustavo excels in understanding context, testing hypotheses, and fostering a data-driven culture.

Analytical and well-organized, Gustavo has a strong theoretical engineering and mathematical background, enabling him to quickly adapt to new technologies. Ready to contribute throughout the project lifecycle, he seeks a challenging role in an international company to apply his skills and expertise.

Hovedekspertise
  • NoSQL 2 år
  • Plotly
    Plotly 4 år
  • Recurrent neural network 2 år
Andre kunnskaper
  • PyCharm
    PyCharm 6 år
  • Linux
    Linux 6 år
  • SQLite
    SQLite 5 år
Gustavo
Gustavo A.

Brazil

Kom i gang

Utvalgt opplevelse

Arbeidserfaring

  • Consultant

    Visagio - 4 years 7 months

    At Visagio, a company focusing on business development and transformation, Gustavo is the Tech lead of vBrain, an Artificial Intelligence as a Service startup that is spearheading the development of solutions for clients across various sectors. His main responsibilities involve guiding the team in designing and developing the platform, ensuring its seamless functionality and precise AI solutions. In this role he:

    • Mentored junior and core developers, contributing to the growth and development of the team.
    • Reduced the error rate for clients from 19% to 3% in a few months.
    • Implemented a data lake structure and multiple airflow DAGs that reduced the execution time by 5x and optmized data storage.
    • Improved inventory efficiency, reducing stock-to-sales ratio by 17%, and stockouts by 5%, and saving 12,000 labor hours through sales forecasting and stock optimization.
    • Reduced 6 percentage points in default rate with a model for credit score definition solution in a B2B company

    On previous projects:

    • Led the end-to-end development of a Recommendations system, employing a rigorous approach involving testing and experimentation. The deliverables included hardware selection, robust data pipelines, AI Models, and a low-latency API for both the backend and real-time project KPI monitoring. The product he created revolutionized the user experience and delivered a 30% growth in revenue for its users in a food retail store.
    • Guided the team in a growth and analytics project, skillfully translating complex data into actionable business insights and experimentation hypotheses. He presented findings to C-level executives, facilitating data-driven decision-making.
    • Modeled a computer vision neural network to count the number of fruits that passed through a track.
    • Orchestrated a series of experiments using A/B testing strategies to enhance the performance of a Retail company's website and email communications, optimizing user experience and doubling the conversion rate.

    Teknologier:

    • Teknologier:
    • SQLAlchemy SQLAlchemy
    • Data Modeling
    • NoSQL
    • Plotly Plotly
    • PyCharm PyCharm
    • Pydantic Pydantic
    • Random Forest Random Forest
    • Recurrent neural network
    • Redis Redis
    • PostgreSQL PostgreSQL
    • SQLite SQLite
    • Tableau Tableau
    • Talend
    • Tesseract Tesseract
    • XGBoost XGBoost
    • Web testing
    • Google Cloud Google Cloud
    • R (programming language) R (programming language)
    • Databricks Databricks
    • DynamoDB DynamoDB
    • ElasticSearch ElasticSearch
    • ELT
    • ETL ETL
    • Git Git
    • Computer Vision
    • Kubernetes Kubernetes
    • LangChain LangChain
    • Matplotlib Matplotlib
    • Microsoft Power BI Microsoft Power BI
    • MLOps
    • MSSQL MSSQL
    • MySQL MySQL
    • Scikit-learn Scikit-learn
    • Apache Spark Apache Spark
    • API
    • AWS Athena
    • AWS EC2 AWS EC2
    • AWS Glue AWS Glue
    • AWS S3 AWS S3
    • Azure Azure
    • Agile Agile
    • BeautifulSoup BeautifulSoup
    • BigQuery BigQuery
    • Python Python
    • Data Science
    • Machine Learning Machine Learning
    • Data Analytics
    • Data Engineering
    • SQL SQL
    • NumPy NumPy
    • Pandas Pandas
    • AWS AWS
    • Docker Docker
    • Linux Linux
    • Project management
    • Product Development
    • Flask Flask
    • REST API REST API
    • FastAPI FastAPI
    • AWS Lambda AWS Lambda
    • Apache Airflow Apache Airflow
    • ChatGPT API ChatGPT API
    • Prompt Engineering
    • Celery Celery
    • Selenium Selenium
    • Streamlit Streamlit
    • Team leading
  • Co-Founder (CTO, Data Analyst, and Product owner)

    Lobo Guara - 1 year 3 months

    Lobo Guara was a fintech company dedicated to providing cutting-edge technology solutions for the investment advisory sector. Within 8 months of its inception, the company secured an impressive R$1 million valuation in angel funding.

    Key offerings included:

    • Developed a custom chatbot and dashboard, significantly enhancing inbound marketing capabilities and enriching profile data for client leads. This was implemented for two prominent brokerage firms with assets under management (AuM) totaling R$1.6 billion and R$200 million, respectively.
    • Introduced an innovative Asset Analysis and Strategic Reallocation Proposal tool, resulting in a 30% revenue growth for a brokerage firm managing assets worth R$200 million.

    Teknologier:

    • Teknologier:
    • Data Modeling
    • Plotly Plotly
    • PyCharm PyCharm
    • Pydantic Pydantic
    • PostgreSQL PostgreSQL
    • SQLite SQLite
    • Tesseract Tesseract
    • Web testing
    • Git Git
    • Matplotlib Matplotlib
    • MySQL MySQL
    • Scikit-learn Scikit-learn
    • API
    • Agile Agile
    • BeautifulSoup BeautifulSoup
    • Python Python
    • Data Science
    • Data Analytics
    • Data Engineering
    • Project management
    • Product Development
    • REST API REST API
    • Selenium Selenium
    • Streamlit Streamlit
  • Innovation and Technology Intern

    Bosch - 11 months

    • Developed engineering projects and proof of concept prototypes focusing on innovation, Industry 4.0, and IoT.

    Teknologier:

    • Teknologier:
    • PyCharm PyCharm
    • C C
    • C++ C++
    • Embedded systems
    • Git Git
    • Grafana Grafana
    • Matplotlib Matplotlib
    • Agile Agile
    • Python Python
    • Data Analytics
    • Data Engineering
  • Magnetic Levitation Systems Engineer

    TUM Hyperloop (former WARR hyperloop) - 9 months

    Winners of the innovation prize for the 2018 SpaceX Hyperloop Competition. https://tumhyperloop.de/

    WARR Hyperloop Levitation pod

    • Developed, prototyped, and tested multiple versions of rotating Halbach arrays for magnetic levitation and drive control.
    • Designed, developed, and set up the LevPod and the test bench for the levitation module.
      1. Handled sensors, control, data acquisition, communication, and electrical design.
      2. Conducted Matlab simulations for the LevPod.

    Teknologier:

    • Teknologier:
    • C++ C++
    • Embedded systems
    • Git Git
    • Matlab Matlab
    • Matplotlib Matplotlib
    • Data Analytics
    • Project management

Utdannelse

  • Standalone courseGeneral Business Program

    Business Training Company · 2020 - 2020

  • BSc.Mechatronics, Robotics, and Automation Engineering (Exchange Student)

    Technical University Munich · 2017 - 2018

  • BSc.Mechatronics, Robotics, and Automation

    Universidade Estadual de Campinas · 2013 - 2019

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