Machine Learning & Data
- Advanced Deep Learning.
- Applied Machine Learning in Python (University of Michigan - DS specialization).
- Applied Plotting, Charting, and Data Representation in Python.
School Life
Physics, machine learning, and research-driven engineering.
A physics engineering path with a machine learning specialization, shaped by research projects and applied AI builds. University was a lab: courses fed experiments, experiments became tools, and every class tied back to real systems in energy, materials, and computation.
Education
Formal studies grounded in physics, numerical methods, and applied machine learning.
Universidad Iberoamericana
Built a strong physics foundation complemented by numerical methods, machine learning, and engineering practice to solve real-world problems.
- Thesis: Neural Architecture Search for Edge Deployment of Vision Models.
- Focus areas: deep learning, computer vision, scientific computing, renewable energy applications.
- Integrated physics and ML to address applied challenges like solar cells and CO2 capture.
Key Courses & Learning
Coursework and self-directed tracks that built depth in ML, cloud, and physics.
Cloud & MLOps
- Google Cloud Professional Machine Learning Engineer preparation track.
- Hands-on labs with GCP, Vertex AI, and ML pipelines.
Physics & Engineering
- Computational Physics and Numerical Methods.
- Condensed Matter and Nanotechnology seminars.
- Solar cells, material properties, and energy systems courses.
Certifications
Credentials that formalize cloud and applied ML skills.
Google Cloud Professional Machine Learning Engineer
Focused on building, training, and productionizing ML models on GCP with robust MLOps practices.
Data Science: Applied Machine Learning in Python
Emphasis on scikit-learn, model evaluation, and practical ML workflows within real datasets.
Academic Achievements
Recognitions for research impact, selectivity, and service.
Honorable Mention
- Recognition for connecting machine learning with nanotechnology and materials science.
Nomination: Best Social Service
- Nomination for social service contributions, reflecting both technical and social commitment.
Beyond the Classroom
Research, tools, and service that extended learning into real impact.
School life blended lectures with experimentation, research, tool-building, and social service. Projects moved from notebooks into APIs and applications, and community work kept the technical focus grounded.
Service and impact
- Collaboration with Amigos de Sian Ka'an and environmental or social initiatives.