Andrew Garcia, PhD
Computer Scientist | Computer Simulations Expert | AI Engineer | Neural Networks | Consultant
Resume
Education
Ph.D. in Chemical Engineering
University of Florida
2017 - 2022
M.S. in Chemical Engineering
University of Florida
2012 - 2015
B.S. in Chemistry
University of Miami
Work Experience
Consultant, Deep Learning and AI
Central Reserve Bank of Peru (BCRP)
2024 - Present
Currently supporting two teams on the development of advanced neural networks and AI models for macroeconomic forecasting. Conducting workshops that highlight the flexible, object-oriented capabilities of PyTorch, aimed at optimizing predictive models for accuracy and efficiency, including innovative applications in non-differentiable models.
Intern, Economic Research (Subgerencia de Investigación Económica)
Central Reserve Bank of Peru (BCRP)
2023 - 2024
Developed and deployed advanced neural networks for time series forecasting to predict the economy. Applied neural architecture search methods for automated model design using TensorFlow and PyTorch.
Research Assistant
University of Florida
2017 - 2022
Optimized crystallization of MIL-53 MOFs and developed 3D kinetic Monte Carlo simulations to analyze crystal anisotropy. Engineered a cloud computing solution that reduced simulation times from 24 hours to under 2 hours using DigitalOcean clusters.
Teaching Assistant, Computer Model Formulation
University of Florida
Jan 2018 - May 2018
Assisted in the teaching of numerical algorithms and Python programming essentials to undergraduate students. Held office hours to review course materials and provide additional instruction tailored to individual student needs.
Certifications
Fundamentals of Accelerated Computing with CUDA Python
Issued by NVIDIA
2021
Fundamentals of Deep Learning for Computer Vision
Issued by NVIDIA
2020
Technical Skills
Explore the tools and technologies I use to tackle complex problems in deep learning, machine learning, and computer simulations.
Programming Languages
C++, C#, Python, JavaScript, Bash, SQL
Machine Learning & Data
TensorFlow.Keras, Torch, Scikit-learn, Optuna / Hyperopt
Pandas, NumPy, SciPy, Matplotlib, Mplfinance
Deep Learning
Convolutional Neural Networks, Recurrent Neural Networks, Transformers, Neural Architecture Search, AutoML, Meta-learning
Game Development
Godot, Unity, C#, C++
Web Development
React.js, Next.js, Tailwind CSS, Firebase, Vercel (obvs), Flask
Cloud Computing
AWS, Google Cloud, Azure, Docker, Kubernetes
Computational Simulations
OpenMM, GROMACS, NAMD, LAMMPS