About me

Knowledge and Interests

I am a computer and data scientist with 4+ years of mixed experience in software engineering, data engineering, machine learning, and human-centered data science. I hold a Master of Science in Information Studies with dual specializations in Statistical Modeling & Data Science and Applied Deep Learning from The University of Texas at Austin (Hook 'em), and a Bachelor of Science in Computer Science and Software Engineering from Universidad Industrial de Santander.

I'm currently a Software/Data Engineer at Visa, where I work on authentication and API infrastructure for Visa's Payment Passkeys. On a personal level, I like reading, art in all forms, and making the most of my existence on Earth.

I'm proficient in Python, Java, TypeScript, JavaScript, R, C#, SQL, and GraphQL, and work across frameworks and tools including React, Next.js, Flask, Spring Boot, Django, Docker, AWS, Tableau, Snowflake, and PowerBI.

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Experience

Visa

Software/Data Engineer

March 2025 – Present

  • Implement authentication and authorization standards (FIDO2, OAuth2, OID4VC) for Visa's Payment Passkeys (VPP), designing and maintaining APIs that handle secure passwordless payment flows across Visa's global partner network.
  • Debugged and resolved critical production issues across Visa's B2CIAM distributed services, tracing failures spanning multiple microservices and stack layers to restore reliability across interdependent authentication systems.
  • Scoped, designed, and built Visa's VPP internal customer service tool end-to-end for Europe's support team, owning both the backend API and frontend UI and replacing fragmented manual workflows with a unified platform.

Western Union

Data Analyst — Prepaid

August 2024 – February 2025

  • Owned all prepaid card data needs across risk, legal, marketing, and product teams; built validation pipelines that caught discrepancies before they reached director-level reporting.
  • Built card lifecycle tracking analytics used directly in C-suite reporting, consolidating data from multiple sources into a single reliable view.

Data Analyst Intern

June 2024 – August 2024

  • Analyzed prepaid card transaction success rates using CIP data, identified rule inefficiencies, and implemented CIP rule changes that improved transaction approval rates by 30%.

Gibson Consulting Group

Quantitative Research Intern

January 2024 – May 2024

  • Built interactive Python dashboards from scratch that let prospective clients self-explore their stakeholder survey data, replacing static report deliverables and shortening the sales cycle.
  • Designed the underlying data models and statistical transforms powering each visualization, ensuring outputs were accurate and interpretable for non-technical audiences.

IC2 Institute — Data and Decision Science Team

Graduate Research Assistant

February 2023 – May 2024

  • Conducted statistical analysis for I-Corps Hub and STEP UP Texas Juvenile Justice using SPSS, Python, and R; findings fed directly into research publications and program evaluations.
  • Built and deployed a forecasting dashboard for the City of Austin Office of Innovation using Plotly and Dash on a Windows IIS server, giving the team a live view of key civic metrics.

School of Information — The University of Texas at Austin

Academic Assistant

August 2022 – December 2022

  • Supported 40 undergraduates in Introduction to Human-Centered Data, running lab sessions on pandas, numpy, and scikit-learn and providing one-on-one debugging help during office hours.

SnapEDA

Software Engineer

March 2021 – March 2022

  • Owned full-stack improvements across a distributed Django/JavaScript codebase serving multiple concurrent client integrations, shipping features across both consumer-facing frontend and internal backend services.
  • Rewrote and optimized 2,000+ lines of SQL queries powering product data dashboards.
  • Established code quality standards through comprehensive testing and shipped user-facing interface improvements end-to-end.

Education

Master's Degree — Information Studies in Data Science and AI

The University of Texas at Austin

2022 – 2024

  • Endorsement of specialization in Data Science and AI.
  • Classes taken: perspectives of information, data semantics, ethics of AI, intro. to machine learning, database management, concepts and practices of information security, data storytelling, deep learning and multimodal systems, data viz. in R, human-AI interaction.

AR/VR Developer Level 1 Certificate

University of Missouri Kansas City (UMKC)

2020

  • Scholarship for this program awarded by the Colombian President in the National Palace. Nexo Global and 100k Strong in the Americas.

Bachelor's Degree — Computer Science and Software Engineering

Universidad Industrial de Santander

2016 – 2022

  • Thesis: Computing Tool for Lung Parenchyma Damage Visualization on VR/AR Interface for Diagnosis.