
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.
Languages
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Spanish
Native -
English
Fluent -
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 5 years
TensorFlow
About 2 years
PyTorch
About 2 years
SQL
About 2 years
Azure
About 1 year
AWS
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 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.
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
Machine Learning Engineer
Corteza AI
- Develop scalable AI models to solve problems across diverse industries.
- Focus on creating reliable and maintainable machine learning solutions.
Adjunct Professor
Tecnológico de Monterrey
- Taught programming and application design using micro:bit devices.
- Guided students with hands-on, project-based learning.
Data Analyst
Telus International
- Evaluated digital content to improve AI-driven recommendation systems.
- Identified patterns to enhance AI models globally.

Portfolio









