I'm Carlos,
I build cloud infrastructure for production AI and ML workloads. Across AWS, Kubernetes, Terraform, and model-serving stacks, I turn AI systems into reliable services that can scale in real-world environments.
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About Me
Cloud & MLOps Engineer
I build production AI infrastructure and MLOps platforms for machine learning and LLM workloads. My work spans AWS, Kubernetes, Terraform, containerized deployments, model serving, and backend systems that make AI applications reliable, scalable, and maintainable.
Name:
Carlos
Age:
27
Location:
México
Years of experience:
5 years
Phone:
+52 55-31311250
E-mail:
me@carlosbustamante.dev
Languages
-
Spanish
Native -
English
Fluent -
German
Intermediate
Key Skills
-
Problem Solving
-
Team Collaboration
-
Analytical Thinking
-
Effective Communication
Technical Skills
Python
6 years
TensorFlow
3 years
PyTorch
3 years
SQL
2 years
Azure
2 years
AWS
2 yearsOther Relevant Skills
Scikit-Learn, PySpark, Pandas, NumPy, Seaborn, Matplotlib, Plotly
My Certifications
Background
Education
August 2022 - June 2024
M.Sc. in Engineering Sciences
Tecnológico de Monterrey
- Developed a neural network-based interface for lab practices, leveraging real-time feedback to enhance learning efficiency.
- Published research on an educational tool applying data-driven control methods to non-linear systems using TensorFlow and Arduino.
August 2017 - December 2021
B.Sc. in Mechatronics
Tecnológico de Monterrey
- Created a webpage to predict volcanic eruptions using machine learning algorithms, providing accurate predictions and a user-friendly interface with Flask.
- Implemented fuzzy control for a Furuta pendulum, demonstrating effective control strategies with MATLAB and 3D CAD software.
Experience
June 2026 - Present
Cloud Engineer
GlobalLogic
- Building AWS-based agentic automation infrastructure for software development lifecycle workflows.
January 2026 - May 2026
Senior Machine Learning Engineer
Corteza.ai
- Architected production AI infrastructure on AWS using Terraform and Kubernetes, supporting ML and LLM workloads across EKS, ECR, EC2, S3, EFS, and Route 53.
- Built Terraform-managed AMI infrastructure to reduce Kubernetes pod startup time from approximately 5 minutes to 2 minutes by minimizing image pull overhead.
- Refactored a production assistant from RabbitMQ-based processing to streaming inference with vLLM, increasing concurrent responses from 2 to 10 on a single GPU instance.
September 2024 - January 2026
Machine Learning Engineer
Corteza.ai
- Led end-to-end fine-tuning workflows for internal LLMs, including codebase scraping, dataset creation, training preparation, supervised fine-tuning, and evaluation.
- Developed Python inference workflows for LLMs, object detection models, diffusion models, and third-party Generative AI APIs.
- Built and deployed containerized AI services integrated with production applications and internal ML tooling.
January 2024 - June 2024
Adjunct Professor
Tecnológico de Monterrey
- Taught application development, programming fundamentals, and electronics concepts, mentoring students through hands-on micro:bit projects.
February 2020 - June 2022
Data Analyst
TELUS International
- Analyzed and annotated digital content to improve training data quality for AI, search, and recommendation systems.
Portfolio
