About me

Research software engineering, data science, and machine-learning

I have a PhD in experimental particle physics and several years of experience building analysis pipelines, running large-scale compute workflows, and extracting reliable results from messy real-world data.

My work sits at the intersection of large-scale data analysis, research-driven scientific computing, and practical AI development. I build reproducible workflows with Python and C++, work comfortably in Linux and HPC environments, and communicate technical results through publications, talks, and project documentation.

Large-scale data analysis

Worked with TB-scale experimental datasets, simulation campaigns, and statistically rigorous validation pipelines to extract reliable results from complex data.

Research

Led particle-physics analyses from method design to publication, combining statistical modeling, scientific software, and clear communication for technical audiences.

AI projects

Built practical ML applications using embeddings, retrieval-augmented generation, and LLM APIs, with a focus on useful tools rather than demos.

Selected work

Projects that best represent my technical strengths

Core toolkit

Skills and technical areas

Languages

Python, C++, Go, SQL, JavaScript, HTML, CSS

Data and modeling

Statistical modeling, maximum-likelihood fitting, uncertainty estimation, simulation validation, data visualization

Systems and tooling

Linux, Git, HPC environments, HTCondor, swif2, command-line tooling, workflow automation

ML and search

RAG pipelines, vector embeddings, keyword retrieval, LLM API integrations, local model workflows

Academic foundation

Education and certificates

University

Doctor of Philosophy in Physics 2020–2024
Florida State University, USA
Dissertation: Photoproduction of K0̄K0 with the GlueX Experiment
Master of Science in Physics 2017–2020
Florida State University, USA
Thesis: A Study of γp → KS0KS0p With The GlueX Experiment
Bachelor of Science in Physics 2010–2017
Universidad de Puerto Rico Recinto de Rio Piedras, PR

Certificates

Learn Retrieval Augmented Generation 2026
Certificate
Learn CI/CD with GitHub Actions, Docker and Go 2026
Certificate
Applied Machine Learning in Python 2025
Certificate
SQL for Data Science 2025
Certificate
Learning Linux for LFCA Certification 2024
Certificate

Research output

Selected publications

Observation of a two-peak structure in the 1.2–2.0 GeV KSKL mass region Working paper
Measurement of Spin-Density Matrix Elements in φ(1020) → KSKL Photoproduction with a Linearly Polarized Photon Beam at Eγ=8.2–8.8 GeV Primary contributor   Phys. Rev. C 112, 025203 (2025) arXiv:2504.01194
First Measurement of a20(1320) Polarized Photoproduction Cross Section Phys. Rev. C 112, 015204 (2025) arXiv:2501.03091
Measurement of Spin-Density Matrix Elements in Δ++(1232) Photoproduction Phys. Lett. B 863, 139368 (2025) arXiv:2406.12829
An Upper Limit on the Photoproduction Cross Section of the Spin-Exotic π1(1600) Phys. Rev. Lett. 133, 261903 arXiv:2407.03316

Communication

Public speaking and invited presentations

Conferences

Two-Pseudoscalar Spectroscopy at GlueX Invited talk
Slides 2023 JLUO Annual Meeting Indico
Jefferson Lab, Virginia, United States of America · June 26–28, 2023
Photoproduction of K0̄K0 with the GlueX Experiment Talk
2022 Fall Meeting of the APS Division of Nuclear Physics
New Orleans, Louisiana, United States of America · October 27–30, 2022
A Study of γp → KSKSp with the GlueX Experiment Talk
88th Annual Meeting of the Southeastern Section of the American Physical Society
Tallahassee, Florida, United States of America · November 18–20, 2021
A Study of γp → KSKSp with the GlueX Experiment Poster
Poster 2021 JLUO Annual Meeting
Jefferson Lab, Virginia, United States of America · June 21–23, 2021

Colloquia and seminars

Hadron Photoproduction at GlueX Invited talk
Slides EMMI Hadron Physics Seminar
Darmstadt, Germany · March 12, 2025
Understanding Nuclear Physics Through Hadron Spectroscopy Invited talk
Colloquium at Union College, New York, United States of America · September 26, 2024

Pedagogy

Teaching and grading experience

Thermal and Statistical Physics 2023 Spring Semester
Grader
Classical Mechanics II 2022 Fall Semester
Grader
Physics I Laboratory 2019 Fall Semester
Instructor
Physics II Laboratory 2019 Spring Semester
Instructor
Physics I Laboratory 2018 Fall Semester
Instructor