Resume

Consultant, Deep Learning and AI
Central Reserve Bank of Peru (BCRP), 2024 - Present
Supporting teams on advanced neural networks and AI models for macroeconomic forecasting. Conducting PyTorch workshops to enhance predictive accuracy and efficiency.
Intern, Economic Research
Central Reserve Bank of Peru (BCRP), 2023 - 2024
Developed and deployed advanced neural networks for economic time series forecasting. Utilized TensorFlow and PyTorch for neural architecture search.
Research Assistant
University of Florida, 2017 - 2022
Conducted experimental and computational research on MOFs, reducing simulation times from 24 hours to 2 hours via cloud computing.

Thermodynamic and Kinetic Crystal Growth Theory
Ph.D. Dissertation, 2022
Developed novel kinetic Monte Carlo models for MOF crystallization. Key contributions:
- Presented at AIChE Annual Meetings (2019-2021).
- Advanced methodologies for predictive material design.
Synthesis of Dissolvable Magnetic Microspheres
M.S. Thesis, 2015
Innovated magnetic microspheres for tissue scaffolding, contributing to:
- A US patent for magnetic templating in tissue engineering.
- Published research in leading journals.
- Breakthroughs in biomedical applications for tissue regeneration.