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SaintpioGabo93/README.md

👋 Hi, I'm Gabo

🚀 About Me

I'm a Robotics Engineer specialized in Data Science and Artificial Intelligence. I thrive on solving complex problems by developing innovative and scalable solutions. My expertise includes:

  • Machine Learning (ML) and Deep Learning (DL)
  • Data Analysis, Visualization, and MLOps
  • Robotics Systems (ROS2, SolidWorks)
  • Advanced Python Programming

Currently, I’m exploring MLOps pipelines, data versioning with DVC, and model tracking with MLflow to enhance workflow reproducibility and scalability. And I never forget Robotics XD, so I'm learning some Assembler, RealTime OS in ARM and Bluetooth Low Energy


🛠️ Tech Stack

Python TensorFlow PyTorch SQL ROS2 DVC MLflow Arduino Raspberry Pi ESP32 Assembler Tableau Excel Matplotlib Seaborn Streamlit


🌟 Projects

  • Developed a prosthetic hand controlled using Machine Learning and EMG sensor data.
  • Implemented feature extraction with wave functions for data sampling from the EMG sensor.
  • Processed the data in a neural network using Python to calculate weights and biases, later deployed as tensors in the ESP32 microcontroller.
  • Designed and programmed a rover robot using data from an accelerometer and gyroscope sensor.
  • Trained a simple machine learning algorithm in Python to calculate weights and biases for deployment on the microcontroller.
  • Enabled the robot to perform autonomous tasks with real-time sensor input.
  • Boosted ROI confidence from 1.2% to 6.3% using statistical bootstrapping.
  • Conducted data exploration and built predictive models for investment decision-making.
  • Managed data versioning with DVC for workflow reproducibility.
  • Improved model accuracy by 12% through feature engineering and text preprocessing.
  • Utilized MLflow for model tracking and performance analysis.
  • Implemented web scraping with BeautifulSoup to enhance dataset quality.
  • Designed AI agents using Q-learning and deep neural networks for gameplay optimization.
  • Simulated training environments to improve agent performance by 15%.

🌱 What I’m Learning

  • Advanced MLOps workflows and pipeline automation.
  • Cutting-edge techniques in Natural Language Processing (NLP).
  • Enhancing scalability through distributed systems.

📫 Let's Connect!


📊 GitHub Stats

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