Gabriel Sánchez

Recently graduated Robotics Engineer with a specialization in automation and robotic systems programming. Expert in the creation and implementation of Machine Learning and Deep Learning algorithms. Experience in using Python, TensorFlow, PyTorch, SQL, and visualization tools like Tableau. Skilled in data analysis and processing, development of predictive models. Strong programming skills (C/C#), mechanical design (SolidWorks, AutoCAD), and control systems (PID, ROS2). Passionate about innovation and solving complex problems through the integration of advanced technologies. Seeking an opportunity to apply knowledge to challenging projects and contribute to the advancement of robotics.

Robotics:

• Programming: C/C#, MATLAB, Python
• CAD Design: SolidWorks, AutoCAD, Fusion 360
• Control Systems: PID, motor control, sensors
• Frameworks: ROS2
• Microcontrollers: Arduino, Raspberry Pi, ESP32
• Communication Protocols: UART, SPI, I2C, CAN bus

Data Science and Data Analysis:

• Tableau
• Excel
• Python: TensorFlow, PyTorch, SciKit Learn, Pandas
• SQL

Super Data Science - BootCamp
  Artificial Intelligence Training

   - Implementation of AI algorithms using PyTorch and TensorFlow
   - Development of deep neural networks and deep Q-learning algorithms for robotic applications
   - Programming of agents and environments for AI training.

Academic Project - CDMX
  Biorobotics Engineering

   - Design of a prosthetic hand using Fusion 3D
   - Programming of sensors and AI algorithms on the ESP32 microcontroller
   - Development of neural network architectures for actuator control.

Academic Project - CDMX
  Rover-Type Robot Construction

   - Development of a rover robot with artificial intelligence technology
   - Gesture classification using a gyroscope sensor and programming in Arduino
   - Data training in Python using libraries like PyTorch, TensorFlow, and Keras
   - Linking microcontrollers via Bluetooth protocol.

Academic Project - CDMX
Robot Programming

- Development and construction of a Bluetooth-controlled rover-type robot
- Circuit design in EasyEDA and PCB development
- Creation of a mobile application in AppInventor for robot control.

• TOEIC B2
• TORFL B1

• Industrial Robotics Course (6 hours)
• Quantum Physics from Beginner to Expert Course (13 hours)
• Arduino Complete Course: Build 30+ Projects Step by Step (19 hours)
• Mathematical Foundations of Machine Learning Course (16 hours)
• SCARA Robot Course: Automation of Repetitive Tasks (6 hours)
• Electrodynamics based on Maxwell Equations Course (24 hours)
• The Complete Electronics Course 2022: Analog Hardware Design
• Industrial Robotics: Programming and Control of Robots Course (6.5 hours)
• X86 Assembly Language from Scratch Course (13 hours)
• Allen Bradley PLC Programming Studio 5000 Expert Course (16.5 hours)
• Omnidirectional Robot Course: Autonomous Navigation (6.5 hours)
• Differential Robot Course: Autonomous Navigation (5 hours)
• Machine Learning for Arduino, ESP32, Raspberry Course (12 hours)
• Evolutionary Algorithms Applied to Robotics Course (6 hours)
• Assembly Language Programming for Reverse Engineering Course (14 hours)