About

Who I am

I started my career as a geoscientist — studying rock, stratigraphy, and the earth at Universidad de los Andes in Bogotá. The technical side of that work pulled me toward computation: spatial data, Python for geochemical analysis, GIS for operational workflows. Over 8+ years I evolved from geological reporting and map production into data engineering, cloud infrastructure, and now AI-assisted workflow automation.

The thread connecting all of it is translating domain-heavy, ambiguous problems into working technical systems — whether that's a serverless invoice-processing pipeline on AWS, a geospatial monitoring dashboard for a government agency, or an AI agent workflow built on Claude Code and MCPs.

I'm a co-author of "Automating Core Data Integration", presented at ADIPEC 2025 (SPE D041S138R004), applying machine learning to geoscience data workflows.

What I work with

Strong / production-proven

Python — data engineering, automation, geospatial analysis
SQL — data modeling, analysis, workflow queries
QGIS — spatial analysis, cartography, operational GIS workflows
GIS / geospatial data — across multiple stacks and formats
AWS — Lambda, Glue, Step Functions, S3, Athena, Redshift, DynamoDB, SQS, Cognito, IAM, CDK
GeoPandas, pandas, scikit-learn
ETL and data processing pipelines
Jira, Confluence — intensive daily use; process design at team scale

Credible with careful framing

Docker, GitHub Actions, PySpark
Power BI, DAX
ArcGIS ecosystem (ArcGIS Online, Survey123, ArcGIS Pro)
GDAL, Leapfrog, Datamine

Growing

Claude Code, MCPs, AI agent workflows
OpenClaw — personal AI/automation system

Context

Based in Bogotá, Colombia. Remote-first since the pandemic — I've collaborated across time zones with technical and business stakeholders throughout my career. English at full professional proficiency (C2, certified via EF SET). Spanish native.

BSc Geosciences, Universidad de los Andes (GPA 4.12/5, "Quiero Estudiar" scholarship). Colombian Professional Geology License (CPG), 2017–present.