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I'm Carlos,

I design and deploy scalable machine learning models to solve real-world problems, focusing on reliable and impactful AI solutions. I apply advanced algorithms to practical challenges in different industries.

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About Me

Machine Learning Engineer

I'm Carlos Alberto Bustamante Gaytán, an ML Engineer with a Master's in Engineering Sciences from Tecnológico de Monterrey. I specialize in building machine learning models, data analytics, and statistical modeling. I use tools like TensorFlow, PyTorch, and Python to tackle real-world problems across different industries.

Name: Carlos
Age: 25
Location: México
Years of experience: 2 years
Phone: +52 55-61942261
E-mail: contact@charlyfive.com

Languages

  • Spanish

    Native
  • English

    Advanced
  • German

    Intermediate

Key Skills

  • Problem Solving

  • Team Collaboration

  • Analytical Thinking

  • Effective Communication

Technical Skills

Python

Python

Over 4 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 neural network interface for lab practices with real-time feedback and visualization. Published a paper on control education tools.

August 2017 - December 2021

B.Sc. in Mechatronics

Tecnológico de Monterrey

Built a machine learning model for volcanic eruptions and created a user-friendly interface with Flask. Applied fuzzy control to a Furuta pendulum.

Experience

September 2024 - Present

Machine Learning Engineer

Corteza.ai

Develop and implement AI models to solve real-world problems across diverse industries, focusing on scalable and reliable solutions.

January 2024 - June 2024

Adjunct Professor

Tecnológico de Monterrey

Taught application design and programming using micro:bit, guiding students in hands-on, project-based learning to solve real-world challenges.

February 2020 - June 2022

Data Analyst

Telus International

Evaluated digital content to enhance AI-driven systems for recommendations and search. Identified patterns to improve AI models across global projects.

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