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I'm Carlos,

I design and deploy production-grade ML systems across diverse AI domains. From prototyping to scalable deployment, I build robust pipelines that transform cutting-edge research into reliable, real-world solutions.

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About Me

Machine Learning Engineer

I build and deploy machine learning systems that solve real problems. I work across the entire ML pipeline: from prototyping models in TensorFlow and PyTorch to implementing them in production. My focus is on creating reliable, scalable AI solutions that work in the real world.

Name: Carlos
Age: 26
Location: México
Years of experience: 3 years
Phone: +52 55-61942261
E-mail: contact@charlyfive.com

Languages

  • Spanish

    Native
  • English

    Fluent
  • German

    Intermediate

Key Skills

  • Problem Solving

  • Team Collaboration

  • Analytical Thinking

  • Effective Communication

Technical Skills

Python

Python

Over 5 years
TensorFlow

TensorFlow

About 2 years
PyTorch

PyTorch

About 2 years
SQL

SQL

About 2 years
Azure

Azure

About 1 year
AWS

AWS

About 1 year

Other Relevant Skills

Scikit-Learn, PySpark, Pandas, NumPy, Seaborn, Matplotlib, Plotly

My Certifications

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Background

Education

August 2022 - June 2024

M.Sc. in Engineering Sciences

Tecnológico de Monterrey

  • Developed a chat-like neural network interface for laboratory sessions to ask questions and receive real-time feedback.
  • Published a research paper on educational tools for control systems.
August 2017 - December 2021

B.Sc. in Mechatronics

Tecnológico de Monterrey

  • Built a machine learning model to predict volcanic eruptions.
  • Applied fuzzy control techniques to stabilize a Furuta pendulum.

Experience

September 2024 - Present

Machine Learning Engineer

Corteza AI

  • Develop scalable AI models to solve problems across diverse industries.
  • Focus on creating reliable and maintainable machine learning solutions.
January 2024 - June 2024

Adjunct Professor

Tecnológico de Monterrey

  • Taught programming and application design using micro:bit devices.
  • Guided students with hands-on, project-based learning.
February 2020 - June 2022

Data Analyst

Telus International

  • Evaluated digital content to improve AI-driven recommendation systems.
  • Identified patterns to enhance AI models globally.

Portfolio

Loan Approval Prediction Project
Personal Portfolio Website
AI-Powered Learning Interface for Engineering Education
Neural Network-Based Controller for Educational Tool
Water Stress Analysis in Mexico Using Machine Learning
IBM Data Science Certification Repository
QR-Based Attendance Registration System
Credit Card Fraud Detection
Volcanic Eruption Prediction

Contact

Phone number: +52 55 6194 2261
Location:

Estado de México, México