Physics student & undergraduate researcher in Optics and Photonics at Universidad de Antioquia (UdeA), Colombia.
Bridging experimental physics, mathematical modeling, scientific computing, and data intelligence from first principles.
I investigate physical phenomena across their complete lifecycle — from laboratory instrumentation and theoretical modeling to computational simulation, high-throughput data acquisition, and machine learning.
As a researcher in the Optics and Photonics Group (UdeA), my academic background in physics, mathematics, and experimental research has developed my ability to approach complex problems from foundational laws, while building reproducible computational tools, automated workflows, and analytical systems to solve them.
python c++ matlab pytorch scikit-learn pandas numpy scipy opencv mlops docker git linux
Physics & Optics · optical systems, instrumentation, experimental design, theoretical modeling
Computation & Sim · numerical methods, scientific programming, simulations, automated workflows
Data & AI Systems · machine learning, MLOps, data engineering, ETL pipelines, business intelligence
optics-photonics-research · python, numpy, scipy, matplotlib
Computational modeling, wave propagation simulations, and experimental data acquisition pipelines for optics and photonics research.
scientific-data-pipelines · python, pandas, mlops, docker
End-to-end automated pipelines for physical experiment logging, data processing, statistical validation, and reproducible scientific workflows.
ml-physical-modeling · python, pytorch, scikit-learn
Physics-informed and data-driven models bridging physical systems with machine learning and analytical inference.
