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.
Download CVAbout 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.
Languages
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Spanish
Native -
English
Advanced -
German
Intermediate
Key Skills
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Problem Solving
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Team Collaboration
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Analytical Thinking
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Effective Communication
Technical Skills
Python
Over 4 yearsTensorFlow
About 2 yearsPyTorch
About 2 yearsSQL
About 2 yearsAzure
About 1 yearAWS
About 1 yearOther Relevant Skills
Scikit-Learn, PySpark, Pandas, NumPy, Seaborn, Matplotlib, Plotly
Background
Education
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.
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
Machine Learning Engineer
Corteza.ai
Develop and implement AI models to solve real-world problems across diverse industries, focusing on scalable and reliable solutions.
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.
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.